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:
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 problem‑solving capabilities.
Proactive, structured, and disciplined in governance activities.
Collaborative, with strong communication across technical and business teams.