Senior Data Engineer

The Opportunity: The Data Engineer will build, integrate, and operationalize Hylant ’s enterprise data architecture on our Databricks and Azure platform. This role translates architectural designs and analytical requirements into reliable, scalable data pipelines and business-ready datasets. Working closely with the Lead Data Architect, the position ensures data solutions align to defined standards, patterns, and governance requirements. In This Role You Will Execute On: Design, build, and maintain data transformation logic, business rules, and analytics-ready datasets using Databricks notebooks, PySpark, and SQL. Develop, orchestrate, and monitor ETL/ELT pipelines using Azure Databricks and Azure Data Factory, including scheduling, dependency management, and job performance tuning. Create target schemas, curated tables, and analytics-ready data layers aligned to architectural designs and business requirements, including source-to-target mapping, historical data loads, and backfills for new data domains. Implement and enforce data governance, security, and access controls within Unity Catalog — including group-based grants, attribute-based access policies, and row- and column-level security — in accordance with standards defined by the Data Architecture team. Conduct data profiling, validation, reconciliation, and system integration testing to ensure end-to-end data quality, accuracy, and reliability; partner with source system owners and downstream consumers to investigate a