{"id":1417144,"url":"https://alion.io/job/valuemomentum-lead-data-engineer-ms-fabric","title":"Lead Data Engineer- MS Fabric","company":{"id":2634129,"name":"ValueMomentum","domain":"valuemomentum.com","url":"https://alion.io/company/valuemomentum","size_band":"201-500","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":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":59000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Databricks","optional":true}],"status":"live","first_seen_at":"2026-09-28T19:16:30Z","employer_posted_date":null,"last_verified_at":"2026-09-28T19:16:30Z","board_verified":false,"closed_at":null,"days_open":28,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":28},"description":"Position:Microsoft Fabric Core Lead Engineer\nExperience: 10+ Years \nLocation: Hyderabad, Pune, Bengaluru, Coimbatore\nNotice Period: Immediate Joiners \nRoles & Responsibilities\nPosition Summary\nThe Microsoft Fabric Core Lead Engineer is responsible for leading the design, development, implementation, and support of enterprise-scale data and analytics solutions using Microsoft Fabric. The role provides technical leadership, drives architecture decisions, mentors engineering teams, and ensures successful delivery of scalable, secure, and high-performing data platforms.\nRoles & Responsibilities\nTechnical Leadership\nLead the end-to-end implementation of Microsoft Fabric solutions across enterprise programs.\nDefine technical architecture, engineering standards, and best practices for Microsoft Fabric adoption.\nProvide technical leadership to a team of data engineers and developers.\nReview solution designs, code, and deployment strategies to ensure quality and scalability.\nMicrosoft Fabric Architecture\nDesign and implement enterprise data platforms using Microsoft Fabric components including OneLake, Lakehouse, Data Warehouse, Data Factory, Real-Time Intelligence, Data Engineering, and Power BI.\nArchitect scalable, cloud-native data solutions supporting analytics, AI, and business intelligence workloads.\nEstablish reusable design patterns and reference architectures.\nData Engineering & Integration\nDesign and develop robust ETL/ELT pipelines using Microsoft Fabric Data Factory and Spark Notebooks.\nIntegrate structured, semi-structured, and unstructured data from cloud and on-premises systems.\nImplement data transformation, cleansing, validation, and orchestration processes.\nOptimize data ingestion strategies for performance and reliability.\nData Modeling & Analytics\nDesign dimensional models, Lakehouse architectures, and enterprise data warehouses.\nDevelop semantic models and datasets for Power BI reporting and self-service analytics.\nCollaborate with business teams to translate analytical requirements into scalable data solutions.\nPerformance Optimization\nOptimize Spark workloads, SQL Warehouse performance, and OneLake storage utilization.\nImplement partitioning, indexing, caching, and workload optimization strategies.\nMonitor platform performance and proactively resolve bottlenecks.\nSecurity & Governance\nImplement enterprise security using Microsoft Entra ID, RBAC, and Fabric workspace security.\nDefine governance policies for data quality, lineage, cataloging, auditing, and compliance.\nEnsure adherence to enterprise security, privacy, and regulatory standards.\nDevOps & Automation\nImplement CI/CD pipelines using Azure DevOps or GitHub.\nAutomate deployment of Microsoft Fabric artifacts across Development, QA, UAT, and Production environments.\nManage source control, release management, and deployment automation.\nAI & Advanced Analytics\nEnable AI, Machine Learning, and Copilot capabilities within Microsoft Fabric.\nSupport Data Science workloads using Spark, notebooks, and ML models.\nCollaborate with AI teams to operationalize predictive analytics and intelligent data solutions.\nProduction Support & Operations\nLead production deployments and post-production support activities.\nMonitor platform health, troubleshoot incidents, and ensure SLA compliance.\nImplement disaster recovery, backup, and business continuity strategies.\nStakeholder Management\nCollaborate with enterprise architects, product owners, business stakeholders, and cross-functional teams.\nParticipate in architecture review boards and technical governance meetings.\nCommunicate technical solutions and project status to senior leadership.\nTeam Leadership & Mentoring\nMentor junior and senior engineers on Microsoft Fabric technologies and engineering best practices.\nConduct code reviews, design reviews, and technical knowledge-sharing sessions.\nDrive continuous improvement initiatives and foster engineering excellence.\nRequired Qualifications\nBachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.\n10+ years of experience in Data Engineering, Data Warehousing, or Cloud Data Platform development.\n4+ years of hands-on experience with Microsoft Azure Data Platform technologies.\n2+ years of hands-on experience with Microsoft Fabric in enterprise implementations.\nStrong expertise in SQL, PySpark, Python, and Spark optimization.\nExperience with Microsoft Fabric components including OneLake, Lakehouse, Data Warehouse, Data Factory, Power BI, and Real-Time Intelligence.\nExperience with Azure Data Lake Storage (ADLS), Azure DevOps, GitHub, and CI/CD pipelines.\nStrong knowledge of dimensional data modeling, ETL/ELT architecture, and data governance.\nExperience leading technical teams and delivering large-scale enterprise data modernization programs.\nPreferred Skills\nMicrosoft Certified: Fabric Analytics Engineer Associate (DP-600)\nMicrosoft Certified: Fabric Data Engineer Associate (DP- 700)\nMicrosoft Azure Data Engineer Associate (DP-203)\nExperience with Databricks, Synapse Analytics, Azure AI Services, or Microsoft 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