NXP

Lead Data Engineer

India · Work style not stated · Full time

Apply on the employer’s site ↗See how well you match this job

You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.

About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerNXP
LocationIndia
Work styleWork style not stated
Employment typeFull time
Employer posted27 Aug 2026

Position Summary:

We are seeking an experienced Senior Data Engineer to drive the performance, governance, and AI-native maturity of our enterprise Data Platform in Databricks. This is a Databricks-focused Data Engineering role with a working understanding of DevOps practices — designing scalable pipelines, tuning workloads for performance and cost, and operationalizing modern data and AI capabilities on Lakehouse.

The ideal candidate has deep, hands-on Databricks expertise, a strong performance-engineering instinct, and a builder's mindset for AI-assisted operations. You'll own the Databricks performance and governance standards for the platform, mentor engineers, and shape the direction for AI-native operations.

Key Responsibilities:

Design and develop scalable data pipelines and Lakehouse solutions on Databricks.
Tune Databricks workloads for performance and cost, including cluster sizing, query optimization, and Delta Lake table design.
Establish and enforce best practices for partitioning, clustering, and workload isolation.
Track performance trends, identify high-cost queries, and partner with source teams and end users to resolve long-running loads.
Design and operationalize Unity Catalog for data governance — access control, lineage, and security.
Build monitoring and self-healing automation using Databricks-native AI and agentic capabilities.
Drive CI/CD workflows for Databricks assets, setting DevOps best practices for deployment and release management.
Lead design reviews and mentor Data Engineers on Databricks best practices and AI-native features.
Own Databricks vendor coordination — case management, escalations, and release adoption strategy.

Show full description

What Success Looks Like (First 6–12 Months)

Within 6–12 months, you'll define the platform's tuning and governance standards, lead design reviews, mentor junior engineers, and shape the AI-native operations roadmap.

Required Qualifications:

Bachelor's or Master's degree in Computer Science, Information Technology, or equivalent relevant experience.
6+ years of data engineering experience with 2+ years hands-on Databricks in enterprise settings.
Deep understanding of Databricks Lakehouse architecture, Delta Lake, Unity Catalog, and Workflow orchestration.
Proven ability to tune Spark workloads for cost and performance at production scale.
Advanced Python (PySpark) and SQL skills.
Working knowledge of CI/CD practices and DevOps principles applied to data workloads.
Experience with observability tooling for Databricks.

Preferred Qualifications:

Experience with Databricks-native AI capabilities and agentic frameworks.
Familiarity with Databricks Serverless Compute and DBSQL performance tuning.
A Databricks Certified Professional.
Exposure to Infrastructure-as-Code is a plus.

Competencies:

Performance-engineering mindset — measures, tunes, and re-measures.
Curiosity for AI-native operations and continuous automation.
Strong sense of platform ownership — quality, cost, and reliability.
Effective communication with engineering peers, vendors, and business stakeholders.
Influence outcomes across source teams, vendors, and business stakeholders without direct authority.

More information about NXP in India...

#LI-7013

See how well you match this job Apply on the employer’s site ↗

Check your resume against this job Free, no sign-up. Nothing you paste is stored.

Staying safe while you apply

Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.

Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.

Preparing for this role with ROLIVA

Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
Prepare honestly.
Build interview stories and application drafts from your own evidence.
Keep track.
Save the role and record your own application status and follow-ups.

Create a free workspace or log in.