Lead Data Platform Engineer

NXP Semiconductors; Bengaluru; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

NXP Semiconductors in Bengaluru is seeking an experienced Platform Engineer to build, secure, and automate the enterprise Data Platform on cloud and Databricks. You will own underlying infrastructure, ingestion frameworks, CI/CD pipelines, orchestration, and observability to enable Data Engineers and Analytics teams to scale.

The role requires hands-on DevOps skills across data replication, job scheduling, deployment automation, and cloud operations, with a focus on stability, automation, and

Qualifications

• Bachelor’s or Master’s degree in CS/IT or equivalent experience.
• 6+ years of experience in Data Engineering, Cloud Infrastructure, or DevOps.
• Hands-on with CI/CD tooling (GitLab preferred) — pipeline authoring and release management.
• Strong cloud experience (AWS) for data workloads.
• Working knowledge of Databricks platform administration.
• Experience with monitoring, observability, alerting, and incident triage.

Responsibilities

• Deploy and maintain Databricks workspaces and cloud infrastructure using IaC.
• Manage platform upgrades, patching, new flow setup, and environment refresh.
• Support enterprise data replication (HVR) and file-based ingestion patterns.
• Design and maintain GitLab CI/CD pipelines for data and platform projects.
• Configure monitoring, logging, and incident response for platform stability.
• Coordinate with vendors and cross-team on changes and reliability.

Skills

CI/CD tooling

Cloud platforms

Databricks administration

Python

Bash/Shell scripting

Monitoring

Education

Bachelor’s or Master’s degree in CS/IT

Tools

GitLab

HVR

Databricks tooling

Autopilot

Job description

Position Summary

We are expanding our Platform Engineering capability to build, secure, and automate the enterprise Data Platform on cloud and Databricks. This role owns the underlying infrastructure, ingestion frameworks, CI/CD pipelines, orchestration, and observability that enable Data Engineers and Analytics teams to operate at scale. The ideal candidate combines strong platform engineering fundamentals with hands‑on DevOps skills across data replication, job scheduling, deployment automation, and cloud operations.

Key Responsibilities

Infrastructure & Platform Engineering: Deploy and maintain Databricks workspaces and cloud infrastructure using Infrastructure-as-Code. Manage platform upgrades, patching, new flow setup, and environment refresh support. Support enterprise data replication (HVR) and file‑based ingestion patterns from operational systems into the data platform.

Orchestration & Job Scheduling: Provide monitoring, recovery, and operational support for enterprise job scheduling and orchestration. Configure job dependencies and coordinate with source teams on long‑running workloads.

CI/CD & Deployment Automation: Design and maintain GitLab CI/CD pipelines for data and platform projects with automated deployment workflows. Standardize deployment strategies using reusable templates and Databricks‑native deployment tooling. Implement branching strategies, code review policies, and environment promotion rules. Support the Change Request (CR) deployment lifecycle, including validation and ticket closure.

Monitoring, Reliability & Support: Configure monitoring, alerting, and logging to ensure platform stability. Serve as an escalation point for platform‑related incidents and vendor coordination. Support year‑end activities and compliance reporting requirements.

What Success Looks Like (First 6–12 Months)

In your first 6–12 months, you’ll stabilize CI/CD and monitoring for key platform flows, automate recurring operational tasks, and streamline the change‑request and deployment lifecycle.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or equivalent relevant experience.
• 6+ years of industry experience in Data Engineering, Cloud Infrastructure, or DevOps.
• Hands‑on experience with CI/CD tooling (GitLab preferred) — pipeline authoring, release management, and secrets management.
• Strong grounding in cloud platforms (AWS preferred) for data workloads.
• Working knowledge of Databricks platform administration.
• Experience with monitoring and observability tools, proactive alerting, and incident triage.
• Proficient in Python and Bash/Shell scripting for automation.

Preferred Qualifications

• Experience with enterprise data replication tools (e.g. HVR).
• Advanced Infrastructure-as-Code skills.
• Familiarity with enterprise job orchestration platforms (e.g. Autopilot).
• Exposure to Databricks Serverless Compute and Workflow orchestration.
• Cloud Solutions Architect or Databricks certifications are a plus.

Competencies

• Reliability‑first mindset — focus on stability, automation, and self‑healing systems.
• Strong sense of ownership across the platform lifecycle — build, run, and evolve.
• Effective vendor coordination and cross‑team collaboration.
• Clear documentation and knowledge‑sharing habits.

More information about NXP in India

#LI‑29f4 NXP Semiconductors N.V. (NASDAQ: NXPI) enables a smarter, safer, and more sustainable world through innovation. As the world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets.

For more information, visit www.nxp.com Bright Minds. Bright Futures. We believe that a key component to growing our business is to develop our people. To enable you to grow your career at NXP, we offer online and offline learning opportunities to help you develop some of your core and professional skills.

Commitment At NXP. We recognize NXP is a powerful change agent as we continue to deliver innovative solutions that advance a more sustainable future. We remain steadfast in our commitment to sustainability and making measurable year‑on‑year progress. Also, we aim to create an inclusive work environment and we will not tolerate racism, discrimination or harassment of any kind. We have programs in place focused on diversity, inclusion and equality.

Thank you for considering a career at NXP.