Remote Data Engineering & Analytics Jobs

We Are: Accenture is a global professional services company with leading capabilities in digital, cloud, and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations Services, and Accenture Song, all powered by the world's largest network of Advanced Technology and Intelligent Operations centers. Our 700,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners, and communities. Visit us at accenture.com. You Are: As a Data Engineering, Management & Governance professional, you will play a pivotal role in building data solutions for ingestion, transformation, and structuring data, utilizing both vendor and open-source tools for building, migrating, and deploying data pipelines. The Work: Apply data engineering principles to create reusable workflows for data ingestion, quality assurance, transformation, and optimization. Design, Build and test scalable data pipelines using extract, transform, and load tools. Document requirements and technical design documents. Deploy solutions to production environments using CICD dev ops and cloud architecture principles. Migrate data from legacy data warehouses and enterprise systems (e.g., ERP, finance, CRM platforms) using cloud architecture principles Automat

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role As a Data Scientist on the Link Key Accounts team, you'll build the models and methodologies that turn multi-source healthcare data into reliable intelligence about healthcare organizations, their networks, and the people who make decisions inside them. The work spans both ends of the spectrum: quantitative analysis of claims and financial data, and qualitative inference — building org charts and mapping influence from titles, roles, and other soft signals. This is an early, high-latitude role with room to shape both the methods and the product. What You'll Do Apply statistical and machine learning techniques to h

We are looking for an experienced SAP Datasphere Developer to design, develop, and maintain scalable data models and analytical solutions within a complex SAP environment. The role focuses on data modeling, data integration, transformation, and development activities using SAP Datasphere to support enterprise reporting, analytics, and business planning requirements. Working closely with solution architects, functional consultants, and business stakeholders, the developer ensures efficient data processing, reliable data integration, and high-quality analytical solutions aligned with business needs and technical standards. Key Responsibilities Design, develop, and maintain data models, views, and analytical datasets within SAP Datasphere. Build and optimize graphical views, SQL views, analytical models, and data transformations to support business reporting and analytics. Develop and maintain data flows, replication flows, and integration processes across SAP and non-SAP systems. Implement semantic modeling concepts, including business entities, relationships, measures, and dimensions. Integrate SAP Datasphere with SAP S/4HANA, SAP BW/4HANA, SAP Analytics Cloud (SAC), and other enterprise data sources. Collaborate with solution architects and functional teams to translate business requirements into technical specifications and data solutions. Optimize data models, queries, and data processing workflows to ensure performance, scalability, and reliability. Troubleshoot technical

Work at DaCodes! We are a firm of experts in software and high-impact digital transformation. For 10 years, we have created technology- and innovation-focused solutions thanks to our team of nearly 300 talented #DaCoders, including developers, architects, UX/UI designers, PMs, QA testers, and more. Our team collaborates on projects with clients in LATAM and the United States, achieving outstanding results. At DaCodes, you will have the opportunity to boost your professional development, work on diverse projects across different industries, and contribute to the design, implementation, and optimization of cloud infrastructures. Our DaCoders have a huge impact on the success of our business and that of our clients. You will be the expert participating in our projects and will have access to disruptive startups and global brands. Are you interested? We are looking for an Application Support Engineer L2 (IT Operations & Technical Triage) with strong analytical skills, experience in incident diagnosis, and knowledge of applications, infrastructure, databases, and technological service monitoring. In this role, you will be responsible for performing technical triage of incidents, identifying potential root causes of failures, and executing operational procedures to restore service availability while minimizing business impact. You will work with observability tools like Datadog, SQL databases, Win servers...

Overview Experian 's Fraud Analytics & Commercialization operates across four main functions. These include client engagement analytics, scalable and custom analytics for financial institutions, fraud analytics consulting, and solution integrity and enablement for production-ready platforms. We're looking for a motivated Data Scientist to help build fraud detection models and features that identify high-risk activity while minimizing friction for legitimate customers. Core skills for this role include an eagerness to collaborate, and empathy. You will will dig into surprising signals in the data and to learn how that insight becomes a deployed model. You will help investigate the latest fraud patterns, build features, and train and evaluate machine learning models. You will work with senior data scientists and engineers starting with problem definition through feature engineering, experimentation, and deployment. You will be a developing programmer, ready to translate theoretical principles into production-ready solutions. We continue to sharpen through research and the engineering that turns those findings into tools and systems built for commercialization. This is a remote role and you will report into the Sr. Manager of Fraud Analytics. What you'll do Investigate large datasets, including exploratory analysis and fraud label development, to identify latest fraud patterns, attack methods, and behavioral signals. Translate ambiguous fraud and risk problems into clear hyp

We Are: About Accenture Accenture helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 814,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $74 billion in FY26 revenue. Visit us at accenture.com. Who You Are: You are a cross-Financial Services skilled senior Data 360 and AI Architect within Accenture ’s Financial Services Salesforce Business Group practice. You design enterprise-scale solutions at the intersection of Salesforce Data 360, Agentforce, and Financial Services platforms in Banking, Capital Markets, and Insurance — and you do it in high-stakes environments where architecture decisions shape multi-year client programs. You own end-to-end technical a

About you and the Role: The Data Privacy Specialist will sit in Enstar's Global Data Privacy team reporting to the Data Privacy Manager and working alongside colleagues in the UK and US. You will be providing day-to-day specialist data privacy advice across the Group so that personal data is handled lawfully, consistently and demonstrably in every jurisdiction in which Enstar operates. The role holder is expected to work across all disciplines of data privacy rather than specialising in specific areas and will coordinate with colleagues in other time zones. Enstar’s business is built on acquired portfolios, therefore the role involves working with inherited records, legacy systems, long retention tails and processing designed under a previous owner and exercising judgement about what to prioritise within those constraints. What you will be doing: Overall contribution Provide day-to-day specialist data privacy advice across the Group so that personal data is handled lawfully, consistently and demonstrably in every jurisdiction in which Enstar operates and deliver assigned workstreams of the data privacy maturity programme. Scope and reporting Work in a Group-wide, multi-jurisdictional role within Enstar's Global Data Privacy team, reporting to the Data Privacy Manager and coordinating with colleagues in the UK, US and other time zones. Work across all disciplines of data privacy rather than specialising in specific areas. Judgement and escalation Exercise independent specialis

Company Description Press Ganey is the leading experience measurement, data analytics, and insights provider for complex industries—a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare –perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees. Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world’s most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success. Our Mission: We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action. Our Values: To put Human Experience at the heart of or

It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. Job Description Summary This position has a wide range of responsibilities that includes both data and AI engineering. They will be responsible for designing and implementing data infrastructure to extract, clean, move and store data. They will need the ability to independently develop AI/ML systems and products for both internal and external use. They will communicate with business stakeholders to understand their needs and develop solutions to address them. Job Description Scope of Position This position has a wide range of responsibilities that includes both data and AI engineering. They will be responsible for designing and implementing data infrastructure to extract, clean, move and store data. They will need the ability to independently develop AI/ML systems and products for both internal and external use. They will communicate with business stakeholders to understand their needs and develop solutions to address them. Essential Job Duties Communication: Strong communication skills to learn and collaborate with stakeholders across the organization. Independent Problem-Solving: Strong, independent analytical and problem-solving abilities, and the internal drive to execute projects to completion. Project Management: Ability to manage projects, prioritize tasks, and meet deadlines. Adaptability: Willingness to learn and adap

Build a career powered by innovations that matter! At Novanta , our innovations power technology products that are transforming healthcare and advanced manufacturing—improving productivity, enhancing people’s lives and redefining what’s possible. We create for our global customers engineered components and sub-systems that deliver extreme precision and performance for a range of mission-critical applications—from minimally invasive surgery to robotics to 3D metal printing. Novanta is one global team with over 26 offices located in The Americas, Europe and Asia-Pacific. Looking for a great place to work? You have found it with a culture that embraces teamwork, collaboration and empowerment. Come explore Novanta . Summary The Senior Data Engineer owns Novanta ’s governed transformation layer end-to-end. As a senior individual contributor, you will design and build the Snowflake transformation layer (raw → staging → conformed → marts), migrate legacy SQL views and user-maintained dimensions into versioned, tested dbt models with full lineage, and define the conformed dimensions and operational facts that unify our multi-ERP environment across the AET and Medical Solutions segments. You will set the modeling, testing, naming, documentation, and CI/CD standards that the future Data Engineer and MDM hires on this team will inherit. This role is hands-on; you should expect to spend most of your time in dbt, SQL, and Python rather than in meetings. About the team Novanta ’s Corporate

As the Data Scientist , your responsibilities will include : Role Overview Lead data science initiatives within the Digital Operations team, driving innovation and operational excellence across Supply Chain, Manufacturing, and Quality. Manage and mentor citizen data scientists while spearheading complex data science projects from inception to deployment, ensuring continuous alignment with business objectives. Leadership and Project Management Lead and manage citizen data scientists through all phases of data science projects, providing mentorship and guidance. Collaborate with cross-functional teams to design, scope, and prioritize data science projects, including defining data collection methods, modeling techniques, and expected outcomes. Manage data science projects from initiation to completion, continuously revisiting and refining models to ensure they meet evolving business needs. Develop and maintain governance principles for data science projects, ensuring best practices are followed. Problem Analysis and Project Management Develop advanced analytics models (predictive, prescriptive, machine learning, simulation, statistical) to address complex business challenges in Supply Chain, Manufacturing, and Quality. Utilize advanced machine learning and statistical techniques to perform data discovery, uncovering new correlations and interdependencies among variables that can drive operational improvements. Lead the development of scalable data pipelines and integrate model p

Summary As a Consultant you will be at the forefront of delivering cloud migrations to our global clients. This role is designed for individuals who are passionate about technology, eager to enhance their technical skills, and thrive in a collaborative and dynamic environment. Job Description Key Responsibilities: Cloud migration Delivery: Delivery of Database Upgrade services to cloud migration customers. Prototyping and Tooling: Contribute to innovation of tooling to automate the upgrade process. Mentoring and Continuous Improvement: Mentor junior team members and guide them. Lead and promote continuous improvement initiatives within the team. Product Expertise: Learn and master your assigned Guidewire product and pass the required Guidewire certification as a subject matter expert within the expected timeframe. AI: At Guidewire, we foster a culture of curiosity, innovation, and responsible use of AI, empowering our teams to continuously leverage emerging technologies and data-driven insights to enhance productivity and outcome. Technical & Functional Consultant skills: Creative Problem Solving: Demonstrated ability to tackle unique, often unforeseen technical challenges with innovative, pragmatic solutions. Code Comprehension: Strong ability to analyze and understand diversely customized codebases with limited context, quickly identifying key components and making effective, context-aware modifications or enhancements. Data Analysis: Ability to validate customer datase

Leidos is seeking an Applied Data Scientist to join our Performance Management team supporting a large, mission-critical Navy program. This is a hands-on, solution-oriented role focused on using data, AI, and software development to solve operational performance challenges, build practical analytical capabilities, and deliver measurable improvements. We are looking for someone who enjoys turning complex, sometimes ambiguous problems into working solutions. The ideal candidate combines strong technical development skills with an analytical, consultative mindset—someone who can understand operational challenges, identify opportunities, develop and implement solutions, and work with stakeholders to ensure those solutions deliver value. The work centers on Service Level Requirements (SLRs) that govern contractual performance across the program, with additional support to broader Navy performance initiatives such as World Class Alignment Metrics (WAM). Key priorities include identifying performance improvement opportunities, strengthening the effectiveness of Plans of Action and Milestones (POAMs), and developing AI-enabled tools and workflows that help the team move from reactive analysis to proactive performance management. This role sits at the intersection of applied analytics, AI solution development, and operational performance consulting. You will work closely with analysts, engineers, and performance leaders to translate business needs into practical technical solutions, w

Project – the aim you’ll have Join a large-scale data migration programme run by an international software provider operating in a regulated, audited sector. You will work in a small, senior delivery team alongside the client’s own engineering squads, moving millions of records from a legacy system into a modern Azure estate. Strict reconciliation standards, genuine accountability for data integrity, and direct contact with the client’s technical leadership. Role – how you’ll contribute Design, build and run ETL pipelines migrating data from legacy SQL Server databases into Azure SQL Profile and reverse-engineer source schemas where documentation is incomplete, and document the model you reconstruct Build validation and reconciliation logic that proves completeness and correctness ahead of the initial load and every delta load Work with the Business Analyst on data mapping, transformation rules and the agreed data dictionary Execute migration rehearsal runs and support the cutover Follow ITIL-aligned change and release management for every production change Diagnose and resolve production data incidents, and contribute to root cause analysis and permanent fixes Maintain technical documentation for the migration components and hand it over at the end of the engagement Expectations – the experience you need 3+ years delivering data migration or ETL development on enterprise or high-stakes systems Strong T-SQL and hands-on experience with Microsoft SQL Server, including SSIS Pra

Honeywell Technologies is hiring a Sales Director, Building Automation (Data Centers) . This role will be responsible for fostering new business within this strategic Data Center vertical within the Honeywell Building Automation (BA) group. This individual will be leading a dedicated team of (5) directs reports consisting of direct sellers, demand generation professionals, solution architects and vertical operations specialists to ensure a cohesive and effective sales strategy. This role will work in the United States on a fully remote work schedule (preferably based in EST or CST time zones) and include 40% (+) domestic travel. Originally posted on Himalayas

Hi, we're Oscar . We're hiring a Supervisor to join our Provider Data Operations team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The Provider Data Operations Supervisor coaches, develops, motivates a team of colleagues to support a best-in-class lean operation. The Supervisor partners closely with other departmental managers on driving objectives and key results in order to improve productivity, client satisfaction, and process efficiencies. They are also responsible for managing team reporting, identifying areas of improvement, as well as ensuring team output is meeting expectations. You will report into the Manager, Provider Data Operations. Work Location: This position is fully remote and open to candidates residing in the U.S., excluding Alaska; Delaware; Hawaii; Louisiana; Montana; North Dakota; Oklahoma; West Virginia; Wyoming; and U.S. Territories. Daily work is completed from your home office, with occasional travel required for team meetings and company events. Pay Transparency: The base pay for this role in the states of California, Connecticut, New Jersey, New York, and Washington is: $72,036 - $85,000 per year. The base pay for this role in all other locations is: $64,832 - $80,000 per year. You are also eligibl

Our tech environment You don't need to be a Data Engineer yourself, but you should have a strong understanding of modern data platforms, data models, pipelines and marketing measurement methodologies. You'll be comfortable working closely with technical experts, challenging solutions and translating complex marketing requirements into scalable data products. Databricks • dbt • Power BI • Microsoft Fabric • Azure Cloud • Modern Data Platforms • Marketing Analytics • Data Products • Jira • Confluence About your tasks Build and shape our new Marketing Data & Measurement team , helping establish the foundations, ways of working and product capabilities needed to support data-driven marketing decisions. Own and drive the Marketing Data Product roadmap , translating the measurement strategy defined by Marketing and Marketing Analytics into scalable products and capabilities, including Attribution, Customer Lifetime Value (CLV), Marketing Mix Modeling (MMM) and incrementality testing. Own the technical foundation of our Marketing Data Products , working closely with Data Engineering and IT to develop reliable data models, pipelines and integrations of new data sources into our existing data stack. Translate business challenges into product opportunities , working with Marketing and Marketing Analytics to understand underlying business problems, prioritize features and continuously improve the performance and adoption of our data products. Drive adoption and business value , ensu

We are looking for a product-minded applied data scientist or engineer to turn raw operational data into products that measurably improve how our customers make decisions and run their businesses. Which label you carry matters less to us than whether customers end up better off. This is not a research-only role, nor a service-oriented internal analytics position—and it is not a role for a model builder alone. We want an owner: someone who frames the problem, learns the domain, builds the data when it doesn't exist, ships the model, and stays with it until customers are acting on it and can measure the reward. The road runs through data engineering; deployment and testing are part of delivery, not a handoff. You understand that great models are not just accurate in notebooks—they are usable, explainable, and measurable inside a real product. Whether you came to this work through statistics, software, analytics, or data engineering, you have a strong bias toward shipping. What You'll Do From Raw Data to Better Decisions Own the Outcome: Take an ambiguous customer problem, decide whether ML is even the right answer, build it, and stay with it until customers are acting on it. Learn the Domain: Get fluent in the semantics of how our customers operate—what a route, a crew, or a service history actually means. A model that is accurate but wrong about the domain creates nothing. Build the Data You Need: When the features don't exist, create them in Snowflake and dbt rather than wait

Why Keyrus , Why Now! Keyrus is an international group of 3,000 experts across 30 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than 30 years, we have helped organizations build the data foundations that power intelligent systems. Today, we go further by designing and operationalizing intelligence that delivers measurable business value. Building reliable data platforms is essential to enabling intelligent business operations. Real transformation happens when data flows seamlessly across systems, applications, and business processes. At Keyrus , you'll work with modern cloud technologies to develop scalable data solutions, support critical enterprise systems, and help organizations transform complex data into measurable business value. Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two. Role details • Location: Remote – Colombia Contract: Permanent employment contract. • Working hours: Eastern Time (ET) What you'll architect As a Data Engineer – Google Cloud Platform (GCP), you'll design, develop, and maintain cloud-based data ingestion processes and pipelines that support enterprise data operations. You'll work with BigQuery, Google Pub/Sub, Dataform, Cloud Storage, and Cloud Composer to build reliable, scalable, and efficient data solutions aligned with business requirements and technical architecture specifications. Your focus goes beyond developing pipelines. You'

📋 Tasks and Responsibilities: As part of a matching engine project, we are looking for a Data Scientist / AI Engineer to continue the development of a solution dedicated to matching job seekers' profiles, job offers, and training offers, as well as its integration into a Dynamics CRM environment. The mission focuses on the design, development, and evolution of a data and AI solution based on Microsoft Azure, Azure AI Foundry, Azure AI Search, and Microsoft Fabric. Specifically, you will be required to: design, develop, and evolve the matching engine and its data pipelines, with the ingestion of profiles, job offers, and training offers into Microsoft Fabric; implement indexing and semantic search in Azure AI Search, as well as fuzzy matching logic, scoring, reranking, and prioritization of proposals; deploy and activate technical environments under Azure, Fabric, and Azure AI Foundry, using Docker containers and Azure App Service; implement CI/CD pipelines, monitoring, and requirements related to security, identity, compliance, and sovereignty; expose the engine as APIs and connectors usable by business applications; ensure data quality and validation of the engine using test sets, validation protocols, and result relevance measures; prepare...

Job Description We are FIS . Our technology powers the world’s economy and our teams bring innovation to life. We champion diversity to deliver the best products and solutions for our colleagues, clients and communities. If you’re ready to start learning, growing and making an impact with a career in fintech, we’d like to know: Are you FIS ? Summary of This Role Plans Db2 for z/os databases, including base definition, structure, documentation, long-range requirements, operational guidelines and protection. Ensures accuracy, completeness and availability of data using various IBM support tools. Establishes and maintains security and integrity controls. Formulates and monitors policies, procedures and standards relating to database management. Proposes and implements enhancements that will improve the performance and reliability of the system. Researches and resolves database issues. The Lead DBA has more knowledge and experience in the inner mechanics of Db2, & who talks with IBM on DB2 issues. The Lead will be involved in mentoring and passing on that knowledge to less experienced DBAs What Part Will You Play? Performs testing of database software, IBM utilities and fixes within a test (sandbox) environment prior to production roll out. Identifies and resolves issues while in the sandbox and upper environments. Performs the migration of tested/approved structures, utilities, and fixes to the production environment. Develops basic to moderately complex database configurati

Job Description At General Motors , our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features. Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale. The Safety Assurance for Effective Autonomous Driving Software (SAFE-ADS) department is part of GM’s Global Product Safety, System, and Certification organization. Our mission is to help GM deliver trustworthy automated-driving products. As the central authority for automated-driving system safety, the department brings together experts from across the company to develop and maintain a comprehensive safety case, including safety performance indicators for GM’s automated-driving technologies. GM’s vision is zero crashes, zero emissions, and zero congestion, and autonomous vehicle safety is essential to achieving that vision. The Role The AV Safety Engineering Analytics team is seeking an experienced Safety Data Analysis Engineer to provide engineering support for AV Operational Safety and Issue Response. This is a safety engineering role focused on data-driven issue response and investigation. You will combi

Position Summary... What you'll do... Role summary: Data Ventures is entering its next stage of growth as the business expands across markets, products, banners, and a rapidly growing client base. As Sr Director, Revenue Operations, you will lead the evolution of the commercial operating model required to support that growth with greater predictability, lower friction, and increasing operating leverage. This leader will own the connective system across Revenue Operations, commercial performance and enablement, commercial systems and automation, client onboarding and transitions, billing, repricing, and broader lifecycle operations. You will be responsible for defining how these capabilities work together across the end-to-end commercial lifecycle—from pipeline and commercial execution through client activation and ongoing revenue events—while establishing globally scalable processes, systems, governance, and automation. Success requires the ability to translate business growth and complexity into an operating model that can scale ahead of demand. The Sr Director will lead a multi-disciplinary Commercial Operations organization and develop the leaders and capabilities required to support significant global growth, including expansion into new markets and current market client growth. What you'll do... Define and Lead the Commercial Operating Model Establish the long-term vision and roadmap for Commercial Operations across markets, products, banners, and client segments. Design

Value Proposition Our values define us and our culture inspires us to change lives for the better. Our employees are the heart and soul of our company, and every success we experience begins with them. Together we are committed to making a positive impact in our local communities. We champion a culture of continuous learning, work-life integration, and inclusion. We promote a digitally enabled work environment to continuously enhance the experience of our employees and customers. Overview This is a full-time career opportunity that can be remote. Must have the ability for occasional travel to our headquarters location in Lancaster, PA. Responsible for providing data modeling and source to target mapping for database development projects, design and user support for business intelligence implementation, design and ownership of the corporate data architecture and related standards, design and maintenance of reference and master data management initiatives, establishment of meta data management policies and procedures, including maintenance of data warehouse and source application data dictionaries, and development and enforcement of data management standards. Responsibilities Lead Data Architects work on a broad range of projects as well as provide leadership within the project for other members of a project team. Defines the corporate data architecture and related standards that includes data integration architecture, data warehouse and business intelligence architecture, taxo