Senior Azure Data Engineer – Snowflake & Databricks

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 $1654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24sequential quarters of growth with $436.0M in Q4 FY26 revenue up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27500global team members located in 18 countries have been instrumental in helping the market leaders transform their industries. We have been recognized as theFastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report. We named a Leader in theEverest Group Private Equity (PE) Services PEAK MatrixAssessment 2026andSoftware Product Engineering PEAK MatrixAssessment 2026.

About Position:

We are seeking an experienced Senior Azure Data Engineer with strong expertise in Azure Databricks Snowflake PySpark and modern data engineering practices. The ideal candidate will be responsible for designing developing and optimizing enterprise-scale data platforms that support advanced analytics business intelligence and digital transformation initiatives. The role requires deep technical expertise in cloud-based data architectures ETL/ELT frameworks data warehousing and large-scale data processing. You will collaborate with architects business stakeholders analytics teams and engineering groups to deliver scalable secure and high-performance data solutions across Azure and Snowflake ecosystems.

• Role: Senior Azure Data Engineer Snowflake & Databricks
• Location: Pune Bengaluru Chennai
• Experience: 8 to 14 Years
• Job Type: Full-Time Employment

What Youll Do:

• Design develop and maintain scalable data pipelines using Azure Databricks and PySpark.
• Build and optimize ETL/ELT workflows for processing structured semi-structured and unstructured data.
• Develop and manage Snowflake data warehouse solutions including data modeling transformation and performance tuning.
• Create reusable frameworks for data ingestion orchestration validation and transformation.
• Integrate data from multiple enterprise source systems into Azure Data Lake and Snowflake environments.
• Design and implement modern data lakehouse architecture solutions.
• Optimize data processing workloads for performance scalability reliability and cost efficiency.
• Implement enterprise data quality governance monitoring and security controls.
• Develop scalable data models and support business intelligence and analytics requirements.
• Collaborate with business stakeholders solution architects and analytics teams to deliver data-driven solutions.
• Troubleshoot and resolve production issues related to data pipelines integrations and cloud platforms.
• Participate in architecture discussions and recommend data platform improvements.
• Conduct code reviews and enforce data engineering best practices.
• Implement CI/CD pipelines and deployment automation for data engineering projects.
• Support cloud migration modernization and platform transformation initiatives.
• Create and maintain technical documentation design specifications and operational runbooks.
• Mentor junior engineers and support technical leadership initiatives within the team.

Expertise Youll Bring:

• 814 years of experience in Data Engineering Analytics and Data Warehousing projects.
• Strong hands-on experience with Azure Databricks PySpark Spark SQL and Delta Lake.
• Proven expertise in Snowflake including data loading transformation optimization clustering and data sharing.
• Strong SQL development and query optimization skills.
• Experience designing and implementing large-scale ETL/ELT pipelines.
• Strong understanding of data warehousing concepts dimensional modeling and data architecture principles.
• Experience with Azure services including Azure Data Factory (ADF) Azure Data Lake Storage (ADLS) Azure Key Vault Azure DevOps.
• Expertise in designing and implementing Lakehouse architectures.
• Experience processing large-scale structured and unstructured datasets.
• Strong understanding of data governance metadata management and data quality frameworks.
• Experience implementing enterprise security controls within cloud data platforms.
• Hands-on experience with Git branching strategies and source control management.
• Experience implementing CI/CD pipelines and DevOps practices for data engineering solutions.
• Knowledge of performance tuning workload optimization and cloud cost management.
• Familiarity with monitoring logging and operational support of enterprise data platforms.
• Strong analytical troubleshooting and problem-solving capabilities.
• Experience leading technical discussions and collaborating with cross-functional teams.
• Excellent communication and stakeholder management skills.
• Experience working in Agile and Scrum delivery environments.
• Ability to mentor and guide junior engineers while contributing to technical excellence.

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.