Data Architect- MS Fabric

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:

• 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.