About Persistent

We are an AI-led platform-driven Digital Engineering and Enterprise Modernization partner combining deep technical expertise and industry experience to help our clients anticipate whats next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world including 18 of the Fortune 50 companies 7 of the 10 top US banks 9 of the 10 technology companies and numerous innovators across the healthcare ecosystem.

Our disruptors mindset commitment to client success and agility to thrive in the dynamic setting have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation leadership and inclusion. We have delivered 26sequential quarters of growth with $487.6M in Q2 FY27 revenue up 7.8% Q-o-Q and 20.0% Y-o-Y. Our 29500global team members located in 21 countries have been instrumental in helping the market leaders transform their industries. We received five awards at the ISG (Information Services Group) Provider Lens Awards 2026 and for the second year in a row were awarded the Growth Honor of the Year at the Everest Group Elevate 2026.

About Position:

We are seeking an experienced Lead Azure Data Engineer with strong expertise in Azure Databricks Snowflake PySpark and SQL to design develop and optimize modern cloud-based data platforms. The ideal candidate will be responsible for building scalable enterprise data solutions leading data engineering initiatives and enabling advanced analytics reporting and business intelligence capabilities across the organization.

- Role: Lead Azure Data Engineer - Snowflake & Databricks
- Location: Pune Bengaluru Chennai
- Experience: 12 to 16 years
- Job Type: Full Time Employment

What Youll Do:

- Design develop and maintain enterprise-scale data pipelines using Azure Databricks and PySpark.
- Build and optimize ETL/ELT frameworks for processing large-scale structured and unstructured datasets.




- Develop and manage Snowflake data warehouse solutions including data modeling transformation and performance optimization.
- Design and implement scalable Lakehouse architectures using Azure and Snowflake platforms.
- Create reusable data ingestion transformation orchestration and validation frameworks.
- Integrate data from various enterprise applications databases APIs and cloud platforms into Azure Data Lake and Snowflake environments.
- Optimize data processing workloads for performance scalability reliability and cost efficiency.
- Implement data governance security data quality and monitoring frameworks across enterprise platforms.
- Collaborate with architects business stakeholders data analysts and engineering teams to deliver business-driven solutions.
- Lead troubleshooting and resolution of production issues involving data pipelines and cloud-based data platforms.
- Participate in architecture reviews and contribute to data platform modernization initiatives.
- Implement CI/CD pipelines deployment automation and DevOps practices for data engineering workloads.
- Mentor junior engineers and promote engineering best practices across the team.

Expertise Youll Bring:

- 12 to 16 years of experience in Data Engineering Cloud Data Platforms and Enterprise Analytics solutions.
- Strong hands-on expertise in Azure Databricks PySpark Spark SQL and Delta Lake.
- Proven experience with Snowflake including data loading transformations data sharing and query performance optimization.
- Advanced SQL expertise including complex query development optimization troubleshooting and performance tuning.
- Experience with Azure Data Factory (ADF) Azure Data Lake Storage (ADLS Gen2) Azure Key Vault and Azure DevOps.




- Strong understanding of Data Warehousing Dimensional Modeling ETL/ELT architecture and Lakehouse architecture.
- Experience developing and supporting enterprise-scale data pipelines and cloud-native analytics platforms.
- Knowledge of data governance metadata management security controls and data quality frameworks.
- Experience working with Git CI/CD pipelines DevOps processes and Agile delivery methodologies.
- Strong expertise in performance tuning workload optimization and scalable data platform design.
- Ability to lead technical discussions architectural reviews and engineering initiatives.
- Strong analytical troubleshooting debugging and problem-solving skills.
- Excellent communication leadership and stakeholder management capabilities.

Benefits:

- Competitive salary and benefits package
- Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
- Opportunity to work with cutting-edge technologies
- Employee engagement initiatives such as project parties flexible work hours and Long Service awards
- Annual health check-ups
- Insurance coverage: group term life personal accident and Mediclaim hospitalization for self spouse two children and parents

Values-Driven People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals including those with disabilities and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

- We support hybrid work and flexible hours to fit diverse lifestyles.
- Our office is accessibility-friendly with ergonomic setups and assistive technologies to support employees with physical disabilities.
- If you are a person with disabilities and have specific requirements please inform us during the application process or at any time during your employment

Lets unleash your full potential at Persistent- is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.

Required Experience:

IC

📌 Lead Azure Data Engineer (Pune)
🏢 Persistent Systems
📍 Pune