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Vacancy description

Celebal Technologies - Lead/Principal Microsoft Fabric Data Architect in भारत

CELEBAL TECHNOLOGIES PRIVATE LIMITED

  • RemoteWork from anywhere
  • HybridMix of office and remote
  • On-siteWork from the office
  • Full-timeStandard weekly hours

भारत

Role : Lead / Principal Microsoft Fabric Data https://jobeax.com/link/WTMziU2Y4KfU6J95 : Type : https://jobeax.com/link/zhUbgyKT4mvaWhxc : Enterprise Data & https://jobeax.com/link/me29ng9sTBHQ7YPb Level : Senior / Lead (8+ years in Data Architecture & Engineering).We are seeking a visionary Microsoft Fabric Data Architect to lead the modernization of our enterprise analytics https://jobeax.com/link/Ijt9JG5TifItzKJ5 this role, you will take end-to-end technical ownership of our data platform, spearheading large-scale data ingestion from core systems - with a strong focus on SAP - into Microsoft https://jobeax.com/link/tuInJoHb5toCOjAK will bridge the gap between architectural strategy, high-performance data engineering, and modern DevOps https://jobeax.com/link/AhfHVBIjYTCa3Bf7 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 https://jobeax.com/link/JcPnJNS8HEL7JdHn Responsibilities : - 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).- 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.- 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.- 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.- Engine with PySpark & SQL : Write, review, and optimize complex SQL queries and distributed PySpark transformations for high-throughput batch and streaming workloads.- 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).- 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.Must-Have Technical Skills : - Microsoft Fabric : Proven expertise architecting end-to-end solutions in Microsoft Fabric (OneLake, Lakehouse/Warehouse patterns, Direct Lake mode, and Fabric compute optimization).- 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.- Advanced Data Modeling : Deep expertise in dimensional modeling (star/snowflake schemas), slowly changing dimensions (SCD), enterprise semantic layers, and warehouse design principles.- 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).- Core Languages : Advanced, production-grade proficiency in SQL and PySpark / https://jobeax.com/link/4XCtEYyaHtcyXOQ8 Profile & Soft Skills : - Leadership & Ownership : Proven track record leading technical teams, influencing platform roadmaps, and owning architectural decisions with accountability.- Communication & Stakeholder Management : Exceptional written and verbal communication skills; ability to articulate complex architectural trade-offs to both executive leadership and engineering teams.- Modern AI Mindset : Familiarity with integrating LLMs, vector search, Azure OpenAI, or Fabric Copilot into enterprise data workflows.- Problem Solving : Rigorous logical and analytical reasoning with an instinct for query optimization, bottleneck identification, and cost-efficient capacity https://jobeax.com/link/uuGlZ7PGojrNovS6 Qualifications : - Experience migrating legacy Azure Synapse, Databricks, or on-premise warehouses into Microsoft Fabric.- Microsoft Certified : Fabric Analytics Engineer Associate (DP-600) or Azure Solutions Architect.- Experience deploying automated testing frameworks (e.g., Great Expectations, dbt, or PyTest) within data https://jobeax.com/link/Q6bacvOP0giEITpZ We Offer : - Competitive compensation and incentive package.- High-impact leadership role directly shaping enterprise analytics and AI strategy.- Comprehensive health, wellness, and retirement benefits.- Flexible working model (Remote / Hybrid).- Continuous learning budget for certifications, conferences, and technical workshops. (ref:hirist.tech)

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