Tech Lead - Microsoft Fabric Job

YASH Technologies, Inc.; Pune District; On-site; INR 2,000,000 - 3,000,000; Full time

Benefits offered by this job

Flexible work arrangements

Stable employment

Agile collaboration

Job summary

YASH Technologies, Inc. is seeking a Lead Microsoft Fabric Data Engineer for Pune District, India. This role involves leading the design of enterprise-scale data platforms, mentoring a team of data engineers, and implementing Microsoft Fabric solutions.

The ideal candidate should have over 8 years of data engineering experience, with hands-on knowledge in Microsoft Fabric and strong skills in Azure and Spark. The position offers flexible work arrangements and emphasizes ethical corporate culture and employee well-being.

Qualifications

• 8+ years in data engineering; 3+ years in a Lead or Architect role.
• Hands-on experience with Microsoft Fabric for 1-2 years.
• Expert in SQL and proven experience with Medallion/Lakehouse architectures.

Responsibilities

• Lead design for Fabric platforms including Lakehouse and Data Factory.
• Drive migration programs from legacy stacks to Microsoft Fabric.
• Manage and mentor a pod of data engineers.

Skills

Data Engineering

Microsoft Fabric

PySpark

Azure SQL

SQL

Power BI

Education

Bachelor’s or Master’s degree in CS, IT, or Engineering

Tools

Azure DevOps

Spark SQL

Delta Lake

Job description

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

Job Description: Lead Microsoft Fabric Data Engineer

Experience Level: 8 to 10 Years (specifically 2-3 years in Microsoft Fabric)

Role Overview

We are looking for a Lead Microsoft Fabric Data Engineer to architect and lead the delivery of enterprise‑scale data platforms. This role involves owning end‑to‑end solution design across Lakehouse, Warehouse, and Real‑Time Intelligence. You will be responsible for setting engineering standards, mentoring a pod of data engineers, and partnering with stakeholders to drive Fabric‑led modernization programs. This position is ideal for a seasoned expert with deep Azure and Spark/SQL experience.

Key Responsibilities

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

Must‑Have Skills

• Experience: 8+ years in data engineering, with 3+ years in a Lead or Architect capacity.
• Microsoft Fabric: 1–2 years of hands‑on experience (OneLake, Data Factory, Notebooks, etc.).
• Spark & Delta Lake: Expert in PySpark, Spark SQL, and Delta Lake performance tuning.
• SQL & Architecture: Expert‑level SQL and proven experience with Medallion/Lakehouse architectures and dimensional modeling.
• Azure Ecosystem: Strong experience with ADF, ADLS Gen2, Azure SQL, Synapse, and Key Vault.
• Power BI: Working knowledge of Direct Lake, semantic modeling, and DAX.

Good‑to‑Have Skills

• Migrations: Experience transitioning from Snowflake or Databricks to Fabric.
• Real‑Time Intelligence: Hands‑on with KQL, Eventstreams, or Activator.
• SAP Integration: Experience with SAP source systems (S/4HANA/BW) using CDS views or ODP.
• Certifications: Microsoft DP‑700, DP‑600, or DP‑203.
• Pre‑sales: Experience with effort estimation, RFP responses, and Proof‑of‑Concepts (PoCs).

Soft Skills & Education

• Communication: Strong consulting skills and the ability to translate business outcomes into technical roadmaps.
• People Leadership: mentoring and growing engineering talent.
• Education: Bachelor’s or Master’s degree in CS, IT, or Engineering.

Benefits

• 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