Principle Data Engineering Enterprise Platform

A Career at HARMAN

As a technology leader that is rapidly on the move HARMAN is filled with people who are focused on making life better. Innovation inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together youll discover that at HARMAN you can grow make a difference and be proud of the work you do every day.

Introduction: A Career at HARMAN Automotive

Were a global multi-disciplinary team thats putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive we give you the keys to fast-track your career.

• Engineer audio systems and integrated technology platforms that augment the driving experience
• Combine ingenuity in-depth research and a spirit of collaboration with design and engineering excellence
• Advance in-vehicle infotainment safety efficiency and enjoyment

About the Role

As a Data Engineer you will be a highly experienced individual contributor responsible for the design and delivery of complex production-scale data products on HARMAN Automotives enterprise data and AI platform. You will provide technical leadership across data engineering initiatives solve difficult cross-domain problems and help establish reusable engineering patterns for teams across the organization. This role combines deep Azure Databricks and data engineering expertise with technical leadership mentoring and close collaboration across business and technology teams.

What You Will Do

Lead the technical design and delivery of complex and cross-domain data products using Azure Databricks and the enterprise data platform.

Design scalable data pipelines transformation architectures data models and integration patterns for high-value business use cases.

Make technical decisions and resolve complex engineering performance data quality and integration challenges.

Lead engineers in applying strong software and data engineering practices including CI/CD automated testing observability code review and deployment automation.

Define and improve reusable data engineering patterns templates and golden paths in partnership with Platform Engineering.

Provide technical guidance and mentoring to other Data Engineers while remaining hands-on with critical engineering work.

Partner with architects Platform Engineering security MDM/Data Quality Analytics and domain teams to ensure data products meet enterprise standards.

Guide the implementation of data contracts quality controls lineage metadata security and operational requirements within data products.

Lead technical discussions with source-system teams and business domains to resolve complex data dependencies and interoperability issues.

Evaluate new Databricks and data engineering capabilities and recommend where they can improve delivery scalability reliability or cost.

Support difficult or immature domain teams while helping mature teams work independently within enterprise guardrails.

Contribute to technical planning and estimation for major data-product initiatives and identify engineering risks and dependencies early.

What You Need to Be Successful

8 years of experience in data engineering software engineering data architecture data platforms or related technical roles.

Deep experience designing and delivering production data solutions using Python SQL Spark/PySpark and distributed data processing technologies.

Strong experience with Azure Databricks or a comparable enterprise lakehouse platform.

Strong understanding of lakehouse architecture Delta Lake data modeling batch and streaming architectures orchestration and enterprise integration patterns.

Demonstrated experience leading the technical delivery of complex data engineering initiatives across multiple systems or teams.

Strong experience with CI/CD Git-based development automated testing deployment automation and software engineering practices applied to data.

Strong understanding of performance optimization production support observability resiliency and data pipeline reliability.

Working knowledge of data governance security access management metadata lineage and data quality.

Ability to influence technical decisions mentor engineers and communicate complex concepts clearly to technical and business stakeholders.

Bachelors degree in Computer Science Engineering Information Systems or a related technical field or equivalent practical experience.

Bonus Points if You Have

Databricks professional-level certification or substantial enterprise Databricks experience.

Deep experience with Unity Catalog Databricks Workflows Delta Lake optimization Lakeflow MLflow or Databricks Asset Bundles.

Experience designing reusable engineering frameworks or standards used by multiple development teams.

Experience with Kafka CDC Azure Data Factory dbt APIs event-driven architectures or high-volume streaming data.

Experience with data mesh data products or federated hub-and-spoke operating models.

Experience integrating data for analytics AI/ML and enterprise data-sharing use cases.

Experience with SAP manufacturing supply chain finance HR or other complex enterprise data environments.

Experience mentoring engineers and providing technical leadership across globally distributed teams.

What Makes You Eligible

Ability to work within the hybrid established for the position.

Ability to collaborate with global teams across North America Europe and India including flexibility in working hours when needed.

Willingness to travel occasionally when required.

What We Offer

Flexible work environment allowing for full-time remote work globally for positions that can be performed outside a HARMAN or customer location.

Access to employee discounts on world-class products (JBL HARMAN Kardon AKG and more).

Extensive training opportunities through our own HARMAN University.

Competitive wellness benefits.

Tuition reimbursement.

Be Brilliant employee recognition and rewards program.

An inclusive and diverse work environment that fosters and encourages professional and personal development.

Salary Ranges:

HARMAN is proud to be an Equal Opportunity / Affirmative Action employer . All qualified applicants will receive consideration for employment without regard to race religion color national origin gender (including pregnancy childbirth or related medical conditions) sexual orientation gender identity gender expression age status as a protected veteran status as an individual with a disability or other applicable legally protected characteristics.

Required Experience:

IC