Description

You will architect and own Azure Databricks Lakehouse solutions, defining ingestion patterns and canonical data models for analytical workloads.

This role is remote.

Responsibilities

• Architect Azure Databricks Lakehouse solutions using Medallion architecture (Bronze/Silver/Gold) and define ingestion patterns via Fivetran, REST APIs, SFTP, and CDC.
• Design canonical, dimensional, and semantic data models optimized for analytical workloads, establishing Power BI semantic layer standards including DAX measures and composite models.
• Operationalize data governance frameworks using Unity Catalog for centralized metadata, RBAC, security, auditing, and lineage, ensuring compliance with enterprise standards.
• Design CI/CD pipelines for Databricks notebooks and Power BI artifacts across Dev/Test/Prod environments, optimizing performance through partitioning and query optimization.
• Mentor data engineers and analysts on architecture, modeling, and governance best practices while reviewing solution designs from engineering teams.

Required Skills

• 12+ years of experience in data architecture, data warehousing, and cloud data platforms.
• Deep expertise with Azure Databricks, Lakehouse architecture, and Medallion design patterns.
• Strong proficiency in Power BI, including semantic layers, DAX, calculation groups, and composite models.
• Hands-on experience with data governance tools, specifically Unity Catalog for metadata, security, and lineage.
• Proficiency in CI/CD pipeline design using Azure DevOps and GitHub Actions.
• Solid understanding of cloud security, IAM, and RBAC implementation.
• Experience with data ingestion tools like Fivetran and incremental load strategies.

Preferred Skills

• Experience with data quality frameworks, validation checks, and observability metrics.
• Knowledge of KPI governance and certified dataset patterns.

Key Skills

Education

Bachelor's degree