Sr. Data Architect

📋 Description

• Design and own the end-to-end lakehouse architecture on Databricks, using Medallion
• Build and optimize scalable batch and streaming pipelines in PySpark, Spark SQL and Python.
• Lead platform migrations (e.g., legacy data warehouse or Hadoop/EMR to Databricks) with measurable
• Define data governance: Unity Catalog, fine-grained access control, auditing, lineage and
• Model data for analytics and operations (OLTP/OLAP, dimensional, SQL and NoSQL).
• Set engineering standards: CI/CD, unit and integration tests, code review, reusable Python

🎯 Requirements

• 10+ years in data engineering, including 5+ years hands-on with Databricks and Spark in production.
• Strong Python and PySpark; working knowledge of Scala and advanced SQL.
• Proven record designing data lakes, data warehouses and lakehouses, including at least one large
• Production experience on at least one major cloud (AWS, Azure or GCP).
• Hands-on data governance with Unity Catalog, access controls, lineage and auditing.
• Solid software engineering practice: Git workflows, automated testing, CI/CD (Azure DevOps, GitHub

🎁 Benefits

• Salary range offered: $7,000 - $8,800 (USD) per month, depending on seniority and skillset.
• Full-time contract through a payroll platform.
• Remote work allocated at our client.