Tech Lead – Microsoft Fabric

YASH Technologies

Lead Microsoft Fabric Data Engineer architecting enterprise-scale data platforms at YASH Technologies. Overseeing solution design and mentoring data engineers for modernization programs.

Posted 7/4/2026full-timePune • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data engineering initiatives, particularly in Microsoft Fabric, while managing teams and optimizing data architectures. Proficient in building complex data pipelines and implementing data governance strategies.

Highest-signal resume keywords

Microsoft FabricData Engineering LeadershipPySparkSQLMedallion Architecture

ATS Keywords

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Hard Skills

Data FactorySpark SQLDelta Lake Performance TuningDimensional ModelingADFADLS Gen2Azure SQLSynapseKQLEventstreams

Soft Skills

MentoringDesign ReviewsCode Reviews

Tools & Technologies

Azure DevOpsGitHubPower BIDirect LakeDAXMicrosoft Purview

Certifications & Qualifications

Microsoft DP-700Microsoft DP-600Microsoft DP-203

Industry Keywords

LakehouseDataflows Gen2OneLakeCapacity PlanningCost OptimizationReliability EngineeringData GovernanceSAP S/4HANACDS ViewsODP

Tech Stack

Tools & technologies

AzureInformaticaPySparkSparkSQLVault

About the role

Key responsibilities & impact

Lead design for Fabric platforms including Lakehouse, Warehouse, Data Factory, Dataflows Gen2, and Notebooks.
Drive migration programs from legacy stacks like on-prem DW, Synapse, Databricks, or Informatica to Microsoft Fabric.
Define Medallion architecture standards, OneLake organization, and workspace topology.
Manage and mentor a pod of 5–10 data engineers, conducting design and code reviews.
Build complex pipelines and semantic models for high-volume, regulated workloads.
Establish environment strategies and release management using Azure DevOps or GitHub.
Lead capacity planning, cost optimization, and reliability engineering for Fabric workloads.
Implement data governance via Microsoft Purview (lineage, sensitivity labels, RLS/OLS).

Requirements

What you’ll need

8+ years in data engineering, with 3+ years in a Lead or Architect capacity.
1–2 years of hands-on experience with Microsoft Fabric (OneLake, Data Factory, Notebooks, etc.).
Expert in PySpark, Spark SQL, and Delta Lake performance tuning.
Expert-level SQL and proven experience with Medallion/Lakehouse architectures and dimensional modeling.
Strong experience with ADF, ADLS Gen2, Azure SQL, Synapse, and Key Vault.
Working knowledge of Power BI, Direct Lake, semantic modeling, and DAX.
Experience transitioning from Snowflake or Databricks to Fabric (good-to-have).
Hands-on with KQL, Eventstreams, or Activator (good-to-have).
Experience with SAP source systems (S/4HANA/BW) using CDS views or ODP (good-to-have).
Certifications: Microsoft DP-700, DP-600, or DP-203 (good-to-have).
Experience with effort estimation, RFP responses, and Proof-of-Concepts (PoCs) (good-to-have).

Benefits

Comp & perks

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