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Open nowPosted today

Principle Data Engineering - Enterprise Platform

HARMAN59 open roles

Where
Novi - Michigan, USA - Cabot Drive
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Your applicationOpen nowPrinciple Data Engineering - Enterprise PlatformHARMAN · Novi - Michigan, USA - Cabot Drive

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on HARMAN's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. HARMAN postings stay open a median of 8 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: posted today

HARMAN median: 8 days open

The posting

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, you’ll 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

We’re a global, multi-disciplinary team that’s 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 Automotive's 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.

• Bachelor's 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:

$ 125,250 - $ 183,700

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.

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