Java Data Engineering Architect

Persistent Systems; Pune District; On-site; INR 2,500,000 - 4,000,000; Full time

Benefits offered by this job

Hybrid work

Higher education sponsorship

Employee engagement programs

Insurance coverage

Ergonomic office & accessibility

Job summary

Persistent Systems Limited is hiring an experienced Java Data Engineering Architect in Pune to lead the design, development, and modernization of enterprise data platforms. You will architect scalable data ecosystems, build real-time and batch processing pipelines, and drive cloud-based modernization initiatives.

The role requires 8–12 years of data engineering or data platform experience, strong Java and Spring Boot skills, and hands-on experience with AWS Glue, Kafka, Spark, and Airflow.

Qualifications

• 8–12 years of experience in Data Engineering or Data Platform roles.
• Strong hands-on Java and Spring Boot development.
• Experience with AWS cloud services and data-processing tools.
• Proficient in designing Data Lake/Warehouse and data pipelines.

Responsibilities

• Define enterprise-wide data architecture standards and best practices.
• Design scalable data pipelines (ETL/ELT) and data integration solutions.
• Architect real-time and batch processing platforms.
• Lead data modernization and cloud-based platform transformations.
• Develop and secure data platforms with governance and compliance.

Skills

Data engineering

Data architecture

Cloud platforms

REST APIs

DevOps practices

Tools

Java

Spring Boot

AWS Glue

Apache Kafka

Apache Spark

Apache Airflow

PostgreSQL

MariaDB

Microsoft SQL Server

Job description

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 what?s 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 disruptor?s 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 have delivered 26sequential quarters of growth with $487.6M in Q4 FY26 revenue, up 7.8% Q-o-Q and 20.0% Y-o-Y. Our 29,500+global 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.

AboutPosition:

We are seeking an experienced Java Data Engineering Architect to lead the design, development, and modernization of enterprise data platforms and data-intensive applications. This role is responsible for architecting scalable data ecosystems, implementing real-time and batch data processing frameworks, and driving cloud-based data modernization initiatives. The ideal candidate will combine strong Java engineering expertise with deep data architecture knowledge to deliver secure, scalable, and business-driven data solutions that support analytics, reporting, and operational excellence across the organization.

• Location: Pune
• Experience: Between 8 to 12 Years
• Job Type: Full Time Employment

WhatYou'llDo:

• Define enterprise-wide data architecture standards, frameworks, and engineering best practices.
• Design and implement scalable data pipelines, ETL/ELT frameworks, and enterprise data integration solutions.
• Architect and develop real-time and batch data processing platforms using modern data engineering technologies.
• Lead data modernization initiatives and cloud-based data platform transformation programs.
• Design and implement Data Lake, Data Warehouse, and data integration architectures that support business intelligence and analytics workloads.
• Build and optimize microservices-based data applications using Java, Spring Boot, and API-driven architectures.
• Develop scalable solutions leveraging AWS Glue, Kafka, Spark, Airflow, and cloud-native data services.
• Establish data governance, data quality, master data management (MDM), metadata management, and compliance standards.
• Collaborate with Product, Engineering, Analytics, DevOps, Infrastructure, and Business stakeholders to deliver enterprise data solutions.
• Drive performance optimization, scalability improvements, data lifecycle management, and platform reliability initiatives.
• Define and implement data security, data privacy, and regulatory compliance controls across data platforms.
• Conduct architecture reviews, design workshops, proof of concepts, and technology evaluations.
• Mentor data engineers, developers, and technical teams on modern data architecture patterns and best practices.
• Support production readiness, operational excellence, monitoring, observability, and continuous improvement initiatives.

ExpertiseYou'llBring:

• 8-12 years of experience in Data Engineering, Data Architecture, Enterprise Application Development, or Cloud Data Platforms.
• Strong hands-on expertise in Java, Spring Boot 2+, Integration Frameworks, APIs, and Microservices Architecture.
• Proven experience designing and implementing enterprise-scale Data Engineering and Data Platform solutions.
• Deep understanding of ETL/ELT frameworks, Data Warehouses, Data Lakes, Data Marts, and distributed data architectures.
• Hands-on experience with AWS services including AWS Glue ETL and cloud-native data engineering services.
• Strong expertise in Apache Kafka, Apache Spark, Apache Airflow, and real-time data processing architectures.
• Advanced SQL skills with hands-on experience in PostgreSQL, MariaDB, Microsoft SQL Server, and relational database design.
• Experience implementing enterprise data governance, Master Data Management (MDM), data quality, metadata management, and compliance frameworks.
• Strong knowledge of batch processing, streaming architectures, event-driven systems, and large-scale data integration patterns.
• Experience developing and deploying scalable REST APIs and microservices for data applications.
• Familiarity with data security, regulatory compliance, and enterprise data management best practices.
• Experience working within cloud-native environments and modern DevOps practices.
• 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
• Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

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.

"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."