Yash Technologies Private Limited

Senior Microsoft Fabric Data Engineer / Tech Lead

Yash Technologies Private Limited
Pune
Not disclosed
Work from OfficeWork from Office
Full TimeFull Time
Min. 8 yearsMin. 8 years

Job Description

Tech Lead - Microsoft Fabric Job

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation.

 

At YASH, we’re a cluster of the brightest stars working with cutting-edge technologies. Our purpose is anchored in a single truth – bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future.

 

We are looking forward to hire Microsoft Fabric Professionals in the following areas :

 

Job Description: Lead Microsoft Fabric Data EngineerExperience Level: 8 to 10 Years (specifically 1-2 years in Microsoft Fabric) Role Overview We are seeking a Senior / Lead Microsoft Fabric Data Engineer to architect and lead the delivery of enterprise-scale data platforms on Microsoft Fabric. You will own end-to-end solution design across Lakehouse, Warehouse, and Real-Time Intelligence, set engineering standards, mentor a team of data engineers, and partner with client architects and business leaders to translate strategy into delivery. This role is ideal for a seasoned data engineering leader with deep Azure and Spark/SQL expertise who has been building on Fabric and is ready to drive Fabric-led modernization programs. Key Responsibilities
  • Solution Architecture: Lead solution design for Microsoft Fabric platforms (Lakehouse, Warehouse, Data Factory, Dataflows Gen2, Notebooks, and Real-Time Intelligence) across multiple workstreams.
  • Platform Standards: Define and govern Medallion architecture standards, OneLake organization, workspace topology, capacity sizing, and naming/coding conventions.
  • Modernization: Lead migration and modernization programs from legacy stacks (on-prem DW, Synapse, Databricks, Informatica, etc.) to Microsoft Fabric.
  • Team Leadership: Manage and mentor a pod of 5–10 data engineers; conduct design reviews, code reviews, and technical coaching.
  • Client Engagement: Partner with client architects, data owners, and business stakeholders during discovery, estimation, and roadmap definition.
  • Hands-on Delivery: Own the build of complex pipelines and semantic models for high-volume, high-velocity, and regulated workloads.
  • DevOps Leadership: Establish CI/CD, environment strategy (Dev/Test/Prod), Git branching, and release management for Fabric artifacts using Azure DevOps / GitHub.
  • Governance: Define enterprise data governance with Microsoft Purview — cataloging, lineage, classification, sensitivity labels, RLS/OLS, and access models.
  • Performance & Cost: Lead capacity planning, cost optimization, performance tuning, and reliability engineering for Fabric workloads.
  • Innovation: Stay current with the Fabric roadmap and bring new capabilities (Direct Lake, Mirroring, Copilot, AI functions, etc.) into delivery.
Must-Have Skills
  • Experience: 10+ years of overall data engineering / data platform experience, including 3+ years in a Lead or Architect capacity.
  • Microsoft Fabric: 1–2 years of hands-on experience on Microsoft Fabric (Lakehouse, Warehouse, Data Factory, Dataflows Gen2, Notebooks, OneLake, and semantic models).
  • Spark & Delta Lake: Deep expertise in PySpark, Spark SQL, and Delta Lake, including performance tuning at scale.
  • SQL: Expert-level SQL — query optimization, indexing, partitioning strategies, and warehouse design.
  • Azure: Strong Azure data ecosystem experience — ADF, ADLS Gen2, Azure SQL, Synapse, and Key Vault.
  • Architecture: Proven experience designing Medallion / Lakehouse architectures and dimensional models (star/snowflake, SCDs, conformed dimensions).
  • Power BI: Working knowledge of Power BI — Direct Lake, semantic modeling, DAX, and enterprise reporting patterns.
  • DevOps: Experience leading CI/CD, Git workflows, and deployment pipelines for data platforms.
  • Leadership: Track record of leading delivery teams, mentoring engineers, and managing client stakeholders.
Good-to-Have Skills
  • Migrations: Experience with Databricks, Synapse Analytics, or Snowflake, particularly in migration scenarios to Fabric.
  • Real-Time Data: Hands-on with Real-Time Intelligence in Fabric (KQL, Eventstreams, Activator).
  • Governance Tools: Exposure to Microsoft Purview, Unity Catalog, or Collibra for enterprise governance.
  • Domain Expertise: Experience in Sales, Finance, Supply Chain, Manufacturing, Healthcare, or BFSI.
  • Niche Leadership: Delivery leadership experience in Logistics, Driver Management, or Labour Management.
  • SAP Integration: Experience leading data integration with SAP source systems (SAP ECC / S/4HANA / BW) including CDS views, ODP, SLT, or third-party connectors into Fabric/Azure.
  • Certifications: Microsoft certifications: DP-700 (Fabric Data Engineer Associate), DP-600 (Fabric Analytics Engineer), or DP-203.
  • Pre-sales: Support pre-sales (solutioning, effort estimation, SOW inputs, RFP responses, and Fabric proof-of-concepts).
Soft Skills
  • Strong consulting and client management skills; comfortable engaging with senior client stakeholders.
  • Excellent communication, storytelling, and presentation skills.
  • Ability to translate business outcomes into technical roadmaps and delivery plans.
  • People leadership — coaching, mentoring, and growing engineering talent.
  • Bias for action, structured problem-solving, and a quality-first mindset.
Education
  • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
  • Relevant Microsoft certifications strongly preferred.

 

At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale.

 

Our Hyperlearning workplace is grounded upon four principles

  • Flexible work arrangements, Free spirit, and emotional positivity
  • Agile self-determination, trust, transparency, and open collaboration
  • All Support needed for the realization of business goals,
  • Stable employment with a great atmosphere and ethical corporate culture

Experience Level

Senior Level

Job role

Work location
Work locationPune, MH, IN
Department
DepartmentSoftware Engineering
Role / Category
Role / CategoryDBA / Data warehousing
Employment type
Employment typeFull Time
Shift
ShiftDay Shift

Job requirements

Experience
ExperienceMin. 8 years

About company

Name
NameYash Technologies Private Limited
Job posted by Yash Technologies Private Limited

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