Senior Data Engineer - Databricks / Data Vault

As a Senior Data Engineer, you will design, build, and operate production data pipelines inside the client's internal framework — a customized layer on top of an open-source data framework.

This is a pipeline-weighted role — ETL, ingestion, and orchestration are the core; transformation direction is provided through requirements.

You will work as an individual contributor (no direct reports), embedded into the client's data engineering team, reporting to the team's engineering leader.

• Build and operate data pipelines from source (Oracle ERP, MS SQL Server) into the lakehouse.
• Work in Databricks on Azure with Unity Catalog as the governance layer.
• Apply Medallion architecture (bronze/silver/gold) and data vault dimensional modeling.
• Incorporate the client's internal data quality framework into every new pipeline.
• Use Azure DevOps for deployments and ticket management.
• Pair with engineers from other data domains on combined-data use cases.

• 5+ years of data engineering experience.
• Experience working inside a custom or internally extended data framework.
• MS SQL Server. Oracle ERP as a source system. Azure DevOps.
• Advanced SQL — CTEs, window functions, complex joins, business-metriclogic.
• ETL, ingestion & orchestration in production — Building pipelines with retry/backoff, schema evolution handling, dependency management, and observability.
• Cloud data platform experience — Databricks preferred (Delta Lake, Unity Catalog, Workflows). Snowflake or BigQuery accepted as transferable.
• Medallion architecture — Bronze/silver/gold layered transformations inproduction.
• Data vault dimensional modeling — Hub/link/satellite patterns specifically, not just general dimensional modeling.
• Software engineering mindset for data — Modular code, design reviews,CI/CD, version control, agile.
• Full professional English — You will pair regularly across the data team and with business stakeholders.

• Remote — work from anywhere in LATAM
• USD compensation.
• Paid time off
• High-impact role
• Long-term engagement with stability and ownership
• Structured 30/60/90 onboarding plan that sets you up for success

Originally posted on Himalayas