Data Architect- MS Fabric, Solapur

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, DAMAQualifications: - 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 technologiesQualities: - 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.