{"id":1999576,"url":"https://alion.io/job/celebal-tech-leadprincipal-microsoft-fabric-data-architect","title":"Lead/Principal Microsoft Fabric Data Architect","company":{"id":2810284,"name":"Celebal Tech","domain":"celebaltech.com","url":"https://alion.io/company/celebaltech","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Jaipur, India","Gurgaon, India","Noida, India","Pune, India","Ahmedabad, India","Hyderabad, India","Bengaluru, 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our data platform, spearheading large-scale data ingestion from core systems - with a strong focus on SAP - into Microsoft Fabric.\n\nYou will bridge the gap between architectural strategy, high-performance data engineering, and modern DevOps practices.\n\nBeyond classical warehousing and dimensional modeling, you will champion an AI-first mindset, architecting data estates that not only feed executive business intelligence but serve as the backbone for generative AI, predictive models, and intelligent agentic workflows.\n\nKey Responsibilities : \n\n- Architect & Scale Microsoft Fabric Estates : Design and govern unified Lakehouse and Data Warehouse architectures within Microsoft Fabric (OneLake, Direct Lake, Fabric Warehouses, Lakehouses, and Pipelines).\n\n- Lead SAP Ingestion Pipelines : Architect robust, low-latency, scalable extraction patterns from SAP source systems (e.g., SAP ECC, S/4HANA, BW) into Microsoft Fabric via Fabric Pipelines, Azure Data Factory, CDC connectors, or SAP Change Data Capture frameworks.\n\n- Master Enterprise Data Modeling : Design scalable conceptual, logical, and physical data models (Kimball dimensional modeling, Data Vault, or semantic layer modeling) optimized for sub-second Direct Lake analytical queries.\n\n- Drive Software Engineering & DevOps Rigor : Implement enterprise-grade CI/CD and version control standards using VS Code, Azure DevOps / GitHub, automated testing, branch protection rules, code reviews, and structured PR workflows for Fabric artifacts.\n\n- Engine with PySpark & SQL : Write, review, and optimize complex SQL queries and distributed PySpark transformations for high-throughput batch and streaming workloads.\n\n- Enable High-Performance BI & AI : Collaborate with BI engineers to build semantic models in Power BI and guide data readiness for enterprise AI/ML solutions (semantic search, Copilot integrations, predictive analytics).\n\n- Technical Leadership & Mentorship : Act as the technical authority for data engineering teams, providing code reviews, design critiques, architectural blueprints, and cross-functional leadership across business and engineering stakeholders.\n\nMust-Have Technical Skills : \n\n- Microsoft Fabric : Proven expertise architecting end-to-end solutions in Microsoft Fabric (OneLake, Lakehouse/Warehouse patterns, Direct Lake mode, and Fabric compute optimization).\n\n- SAP Data Ingestion : Demonstrable hands-on experience extracting and integrating enterprise SAP data (ECC/S4HANA, OData, RFC/BAPI, or Change Data Capture) into cloud lakehouses.\n\n- Advanced Data Modeling : Deep expertise in dimensional modeling (star/snowflake schemas), slowly changing dimensions (SCD), enterprise semantic layers, and warehouse design principles.\n\n- Developer Workflows & GitOps : Strong fluency with local developer workflows (VS Code), CI/CD pipelines, Git operations (branching strategies, structured commits, pull requests, and peer reviews).\n\n- Core Languages : Advanced, production-grade proficiency in SQL and PySpark / Python.\n\nProfessional Profile & Soft Skills : \n\n- Leadership & Ownership : Proven track record leading technical teams, influencing platform roadmaps, and owning architectural decisions with accountability.\n\n- Communication & Stakeholder Management : Exceptional written and verbal communication skills; ability to articulate complex architectural trade-offs to both executive leadership and engineering teams.\n\n- Modern AI Mindset : Familiarity with integrating LLMs, vector search, Azure OpenAI, or Fabric Copilot into enterprise data workflows.\n\n- Problem Solving : Rigorous logical and analytical reasoning with an instinct for query optimization, bottleneck identification, and cost-efficient capacity management.\n\nPreferred Qualifications : \n\n- Experience migrating legacy Azure Synapse, Databricks, or on-premise warehouses into Microsoft Fabric.\n\n- Microsoft Certified : Fabric Analytics Engineer Associate (DP-600) or Azure Solutions Architect.\n\n- Experience deploying automated testing frameworks (e.g., Great Expectations, dbt, or PyTest) within data pipelines.\n\nWhat We Offer : \n\n- Competitive compensation and incentive package.\n\n- High-impact leadership role directly shaping enterprise analytics and AI strategy.\n\n- Comprehensive health, wellness, and retirement benefits.\n\n- Flexible working model (Remote / Hybrid).\n\n- Continuous learning budget for certifications, conferences, and technical workshops.\nSkills\nData Engineering, Data Architect, Microsoft Fabric, Data Strategy, SAP ECC, S/4 HANA, Azure Data Factory, Data Modeling, PySpark, SQL","description_format":"text","description_chars":5047,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Flexible 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