Description

Responsibilities:

• Architect and own enterprise-scale Azure Databricks Lakehouse solutions using Medallion Architecture (Bronze, Silver, Gold).
• Design scalable data ingestion frameworks using Fivetran, REST APIs, SFTP, CDC, and incremental loading strategies.
• Develop canonical, dimensional, and semantic data models optimized for enterprise analytics.
• Establish Power BI semantic modeling standards, including datasets, DAX measures, calculation groups, and composite models.
• Define and govern enterprise KPIs, certified datasets, and metric versioning standards.
• Implement enterprise-wide data governance frameworks covering data quality, metadata, lineage, stewardship, and lifecycle management.
• Configure and manage Unity Catalog for centralized metadata, RBAC, row-level security, auditing, and data lineage.
• Define automated data quality validations, reconciliation rules, observability metrics, and monitoring processes.
• Design and implement CI/CD pipelines for Databricks notebooks, jobs, and Power BI deployments across development environments.
• Optimize platform performance through partitioning, clustering, caching, and query optimization techniques.
• Ensure compliance with enterprise security, privacy, data classification, retention, and regulatory standards.
• Review and approve solution architectures, data models, and transformation logic developed by engineering teams.
• Partner with business and technology stakeholders to standardize KPIs, governance policies, and data quality initiatives.
• Mentor data engineers, analysts, and technical teams on architecture, governance, modeling, and best practices.
• Embed governance into the analytics platform through automated controls, secure access patterns, and enterprise data standards

Key Skills

Education

Bachelor's degree