Senior Data Engineer - Data Governance & DataOps

An undergraduate or master’s degree in computer science/engineering, or an equivalent combination of education and experience, preferably in a large and complex retail organization.

7+ years of data engineering or analytics engineering with recent experience using modern lakehouse technologies (Databricks/Delta preferred).

Strong SQL and Python; hands on experience with Spark (PySpark) and Databricks Jobs/Workflows.

Experience with metadata and governance platforms such as Microsoft Purview or Unity Catalog.

Proven experience with data modeling, performance tuning, and reusable pipeline frameworks.

Experience implementing data quality as code (e.g., Great Expectations, Databricks Expectations, Deequ, or similar testing frameworks).

Experience with semantic models and BI layer design (Power BI strongly preferred).

Strong engineering fundamentals: version control, CI/CD, automated testing, release management.

You have a clear, concise communication style and can translate complex data and engineering concepts into simple, business ‑ relevant language for non ‑ technical stakeholders.

Background in retail/grocery or other high volume transactional domains (considered an asset).

Experience establishing enterprise data domains and data products (considered an asset).

Orchestration experience with tools such as Databricks Workflows, Airflow, Informatica, and ADF/Fabric Data Factory(considered an asset).

Able to translate business needs into technical architecture capabilities.

Able to quickly comprehend the functions and capabilities of new technologies.

A curious learner who stays informed on emerging technologies and is motivated by long-term results and achieving targeted business outcomes.