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 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.

Our disruptors mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We reported $1,654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24 sequential quarters of growth with $436.0M in Q4 FY26 revenue, up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been recognized as the Fastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report. We named a Leader in the Everest Group Private Equity (PE) Services PEAK Matrix Assessment 2026 and Software Product Engineering PEAK Matrix Assessment 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 You'll 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 You'll Bring

12-16 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 - persistent.com/careers

Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. Databricks,Azure,PySpark