Work and Technical Experience :

Must Have :

- Experience in D&A specifically in Microsoft Azure stack.

- Experience in design, architecture and implementation of modern cloud native solutions using Azure Fabric ecosystem OneLake, Lakehouse, Data Factory, Purview among host of other services.

- Deep expertise in building scalable enterprise grade modern data pipelines, data organization, data modelling, for variety of analytical workloads specifically in Microsoft Azure ecosystem.

- Proficiency in AI infused data engineering with effective use of GenAI, LLMs, MCPs, Agents.

- Hands-on with Sparkbased and notebook driven data engineering.

- Experience of designing and implementing domain driven architecture, data mesh and data fabric architectural patterns.

- Diverse D&A experiences including green field Fabric implementation, migrations from legacy to Fabric, data products, semantic & context layer design in Microsoft Azure ecosystem.

- Proficiency in supporting presales and solutioning with experience in conducting discovery workshops, whiteboarding sessions, building architectural blueprints and estimations for large programs.

- Demonstrable thought leadership through blogs, white papers and presentations in D&A events.

Good to have :

- Well versed with data management practices such as data quality management, data cataloging and data governance in hybrid and multi-cloud environments.

- Well versed in DataOps automation using custom or cloud native services on Azure.

- Well versed with DevSecOps considerations for cloud first data analytics solutions in Azure.

- Sound understanding of cloud infrastructure provision, data observability and Cloud FinOps.

- Demonstrable advisory and consulting experiences for strategic D&A initiatives.

- Sound business appreciation to understand business and functional requirements for solution architecture considerations.

- Experience in evaluating and comparing multiple cloud data technology choices and making right-fit recommendations in the client context.

- Working knowledge of frameworks like TOGAF, DAMA.

Qualifications :

- Bachelors degree in computer science, engineering, or related field (masters degree is a plus).

- Demonstrated continued learning through one or more technical certifications or related methods.

- 10 to 14 years of experience in data analytics with focus on cloud data technologies.

Qualities :

- Strong architectural mindset with attention to detail.

- Ability to enforce standards with diplomacy and influence.

- Analytical thinker with strong problem-solving capabilities.

- Proactive, structured, and disciplined in governance activities.

- Collaborative, with strong communication across technical and business teams.