Tech Lead – Microsoft Fabric

Jobtailor; Pune District; On-site; INR 3,500,000 - 7,500,000; Full time

Job summary

Jobtailor in Pune is seeking a Lead Data Engineer/Architect to steer design for Microsoft Fabric platforms, including Lakehouse, Data Factory, and Notebooks, and to drive migration from legacy stacks.

You will manage a pod of 5–10 engineers, build complex pipelines and semantic models, implement governance with Purview, and lead release strategies using Azure DevOps or GitHub to ensure reliable, scalable Fabric workloads.

Qualifications

• 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).
• Expert in PySpark, Spark SQL, and Delta Lake performance tuning.
• Expert‑level SQL and 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).

Responsibilities

• 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).

Skills

PySpark

Spark SQL

Delta Lake

SQL

Medallion/Lakehouse

Azure Data Factory

ADLS Gen2

Azure SQL

Azure Synapse

Key Vault

Power BI

Direct Lake

Semantic Modeling

DAX

KQL

EventStreams

Activator

SAP S/4HANA

CDS views

ODP

DP-700

DP-600

DP-203

Tools

APIs

Job description

Responsibilities

• 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

• 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).