Overview
Lead a team of 6 to 10 data engineers building and evolving modern data platforms that support scalable, reliable, and high-quality data movement across the enterprise, including platform migrations and modernization programs.
What you'll do
- Lead and develop a team of 6 to 10 data engineers by setting priorities, coaching performance, and building technical and delivery capabilities across the team.
- Own end-to-end delivery of data engineering initiatives, including planning, execution, quality, risk management, and operational readiness for large-scale programs.
- Guide the design and implementation of modern data platform capabilities using technologies such as Kafka, ZeroETL, Apache Iceberg, and related ingestion and storage patterns.
- Partner with architects and engineering teams to support enterprise data platform migrations, ensuring scalability, performance, and delivery consistency across complex environments.
- Establish delivery governance, sprint execution, dependency management, and technical coordination across cross-functional teams involved in platform modernization.
- Communicate delivery progress, risks, dependencies, and strategic priorities to senior stakeholders, including Vice President-level leaders, in a clear and actionable manner.
- Drive platform reliability, engineering standards, and repeatable development practices that improve quality, maintainability, and operational efficiency.
- Support resource planning, talent development, and team growth while aligning engineering execution to business and platform priorities.
- Promote collaboration across engineering, architecture, and product teams to resolve technical blockers and maintain delivery momentum.
- Contribute to continuous improvement across data engineering processes, migration practices, and platform governance.
What you'll need
- 8+ years of experience in data engineering, data platform engineering, or related technical roles supporting modern enterprise data environments.
- 8+ years of experience working with technologies such as Kafka, ZeroETL, Apache Iceberg, or similar streaming, ingestion, and table format capabilities used in modern data platforms.
- 8+ years of experience leading end-to-end delivery of complex data engineering or platform migration initiatives in enterprise environments.
- 3+ years of experience managing and developing teams, including responsibility for coaching, performance management, and team execution outcomes.
- Experience leading large-scale data platform migrations and modernization programs with measurable delivery, quality, and operational outcomes.
- Experience communicating with senior stakeholders, including Vice President-level leaders, on delivery status, technical risks, milestones, and strategic priorities.
- Bachelor's degree or higher in Computer Science, Data Engineering, Information Systems, Engineering, or related field or equivalent combination of education, related experience and/or military experience.
Nice to have
- Experience with modern cloud data platforms, streaming ecosystems, and scalable storage architectures.
- Experience in financial services, payments, or regulated data environments.
- Experience driving engineering process improvements, team scaling, and delivery governance in matrixed organizations.
- Experience partnering with architecture and product teams on enterprise modernization strategies.
Details
- Location: Bengaluru, India.
- Work mode: On-site, Monday through Friday.
Read the full description and apply on the company’s own careers page.