Data Management Strategy & Governance Associate Advisor

Overview

The Data Management Strategy & Governance Associate Advisor is a hands-on individual contributor responsible for turning architectural designs and business requirements into trusted, reusable, production-grade data products through MVP. The role builds Silver data structures and co-designs and builds Gold data products, combining business fluency with data engineering discipline.

What you'll do

• Build architecture’s designs and analysis’s requirements into production-ready solutions through MVP.
• Work new and unfamiliar data quickly into a working solution that answers the business question at hand.
• Refactor learning-stage and bespoke work into durable, reusable, production-ready assets.
• Build physical Silver structures to the enterprise-agnostic Silver model and reference patterns designed by Data Architecture.
• Implement Silver designs faithfully and promote them to production through governed CI/CD pipelines.
• Capture business context and metadata at build, and hand off to trusted partner teams as readiness allows.
• Deliver Gold solutions through build-through-MVP and promote them to production-grade through governed CI/CD pipelines regardless of owner.
• Uphold build standards and guardrails for Gold solutions across owning teams.
• Build to production standards from day one and apply consistent development patterns, naming conventions, and build standards.
• Move work through the CI/CD pipeline by developing, testing, and productionizing solutions while clearing quality, security, and cost checks on first pass.
• Apply AI and automation to accelerate build and testing without bypassing governance, security, or quality expectations.
• Partner with Data Architecture to build to Silver designs and co-design Gold within established standards.
• Partner with Data Analysis, Products & Integration to implement requirements, business rules, and acceptance criteria.
• Partner with Platform Engineering / IT and DevOps & AI Enablement on ingestion, pipelines, and automation frameworks.
• Partner with data science and business analytics teams so Gold data products serve their models, analyses, and decisions.
• Partner with data governance teams to ensure enterprise standards are consistently implemented.
• Set the design and hold Data Operations standards across the Hyderabad Data Operations team and outside service partners as part of a global delivery model.
• Design and implement automated data observability and reliability reporting.

What you'll need

• 6+ years building production-grade data solutions, with demonstrated depth in analytics engineering or equivalent business-plus-build work.
• A genuine 50/50 blend of business fluency and hands-on engineering discipline.
• Hands-on experience with Databricks, Spark, Unity Catalog, SQL, and Python.
• Familiarity with Snowflake and Teradata in addition to a Databricks-first stack.
• Expert knowledge of dimensional and medallion (Silver / Gold) modeling within an enterprise-agnostic data model.
• Working knowledge of CI/CD pipelines, automated code evaluation, and controlled promotion to production.
• Strong software-engineering discipline, including version control (Git), code review, and efficient, reusable code.
• Performance-tuning and cost-optimizing Spark and SQL transformations at scale.
• Familiarity with data governance and cataloging tooling such as Collibra.
• Automated data-quality testing and validation built into every solution.
• Demonstrated ability to learn a new data domain fast and turn business logic into reusable data products.
• Demonstrated ability to apply AI and automation to accelerate build while preserving quality and governance.
• Experience working in regulated or compliance-driven environments.

Nice to have

• Experience in complex, regulated enterprises preferred.
• Healthcare or PBM data a plus.

Details

• Location: Hyderabad, India.
• Work hours: 2:30 PM IST to 11:30 PM IST.