About Position:

We are currently seeking a Staff Data Platform Engineer to provide technical leadership in the design, architecture, and operation of enterprise-scale data platforms. The ideal candidate will bring 15+ years of data engineering experience, deep expertise in OLAP technologies such as StarRocks and/or ClickHouse, and strong hands-on knowledge of Java, Apache Flink and/or Apache Spark, Apache Kafka, and ETL. You will define scalable big data architectures, guide production data operations and infrastructure growth, and ensure reliable, high-performance real-time data processing across the platform.

- Role: Staff Data Platform Engineer
- Location: All Persistent Locations
- Experience: 15 to 20 years
- Job Type: Full Time Employment

What You'll Do:

- Define the technical vision and architecture for large-scale batch, streaming, and OLAP data platforms.
- Design and optimize OLAP solutions using StarRocks and/or ClickHouse for high-volume, low-latency analytical workloads.
- Lead big data system design, capacity planning, infrastructure scaling, and production data operations.
- Architect and guide Java-based data engineering solutions using Apache Flink and/or Apache Spark, Apache Kafka, and ETL frameworks.
- Establish reliability, performance, observability, security, and operational standards for production data platforms.
- Partner with architects, product leaders, and engineering teams; drive design reviews, resolve complex production issues, and mentor senior engineers.

Expertise You'll Bring:

- 15+ years of software or data engineering experience, including staff-level technical leadership and architecture ownership.
- Deep hands-on expertise with StarRocks and/or ClickHouse for large-scale OLAP and analytical systems.
- Proven experience in big data system design and architecture,



including distributed processing and platform modernization.
- Strong production experience in data operations, capacity planning, and infrastructure scaling and management.
- Advanced Java development experience with hands-on expertise in Apache Flink and/or Apache Spark.
- Strong experience with Apache Kafka, ETL pipelines, and real-time data streaming platforms.
- Ability to influence architecture decisions, establish engineering standards, troubleshoot critical issues, and mentor senior technical teams.
- ServiceNow (GenAI)

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 Workplace:

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

Let's unleash your full potential at Persistent - persistent.com/careers

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

📌 Staff Data Platform Engineer (Pune)
🏢 Persistent Systems
📍 Pune