Senior Data Engineer Consultant

What you'll do:

• Design and build robust data pipelines using Databricks, Spark, and Delta Lake.
• Implement scalable and secure Lakehouse architectures on Databricks.
• Collaborate with analysts, ML engineers, and platform teams to deliver Databricks-native solutions.
• Apply best practices in data governance, CI/CD, and orchestration within the Databricks ecosystem.
• Ensure data platform systems are secure, reliable, and cost-effective.

What You Will Bring:

• We are looking for critical thinkers who love untangling complex architectures.
• 8+ years of experience using Python, Spark, and SQL to build scalable data pipelines in Databricks.
• Deep hands-on experience with Delta Lake, Unity Catalog, and MLflow.
• Production experience with workflow orchestration tools like Airflow or Databricks Workflows.
• Integration experience with modern data stack automation (dbt, Fivetran, Terraform).
• Familiarity across major cloud platforms (Azure, AWS, or GCP).
• Strong grasp of data modeling techniques (Inmon, Data Vault, Kimball).
• Solid understanding of the data lifecycle, governance, and platform optimization techniques.