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 Spark–based 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:
- Bachelor's degree in computer science, engineering, or related field (master's 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 problemsolving capabilities.
- Proactive, structured, and disciplined in governance activities.
- Collaborative, with strong communication across technical and business teams.
