Job Description

Key Responsibilities

• Define the target-state architecture for the enterprise data lakehouse platform across Azure, Databricks, storage, transformation, governance, and consumption

• Lead platform design for Databricks, Unity Catalog, MLflow, dbt, and shared data/ML services

• Own the governance model for permissions, roles, access controls, lineage, and catalog structures across the platform.

• Establish standards for development, test, and production environments to ensure consistency and reliability.

• Drive platform automation for governance checks, workflow controls, monitoring, deployment, and operational tasks

• Enable users and domain teams through reusable templates, platform standards, and self-service patterns.

• Support modern data product and data mesh ways of working, balancing domain autonomy with enterprise controls.

• Partner with engineering, analytics, governance, and business teams to align platform evolution with business priorities.

Mandatory Skills

• Strong experience in data architecture, platform architecture, or enterprise data engineering

• Deep hands-on expertise with Databricks

• Strong experience with Microsoft Azure, especially Azure-based data platform architecture and lakehouse design.

• Deep knowledge of Unity Catalog, including permissions, roles, access models, lineage, and governance controls.

• Experience with MLflow for experiment tracking, lifecycle management, and ML platform governance.

• Strong experience with dbt and modern transformation practices.

• Strong understanding of data lakehouse architecture, platform environments, and operational controls.

• Strong command of SQL and Python

• Experience with automation of platform, governance, and operational processes.

Good to Have

• Experience with data mesh or federated data operating models.

• Familiarity with Power BI, Snowflake, Fabric, or similar enterprise ecosystems

• Experience with Terraform, CI/CD, or infrastructure automation

• Exposure to AI/ML governance and enterprise platform controls.

• Experience in large or regulated enterprise environments.

Experience & Qualifications

• 8+ years of experience in data architecture, data platforms, or related roles.

• Proven experience designing and scaling Databricks-based platforms on Microsoft Azure

• Strong experience with enterprise lakehouse architecture, governance, and platform enablement.

• Experience driving platform standards, user adoption, and operating model maturity.

• Strong ability to work across architecture, engineering, governance, and business teams.

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field