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HARMAN International

Produces audio systems, infotainment, enterprise automation

Principal Data Engineering

Data EngineeringConfirmed live in the last 24 hours
Full-timeNovi, MI, USA$125.3k - $183.7kHybrid

About the Job

Requirements

  • At least 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.
  • Ability to work within the hybrid arrangement 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.

Responsibilities

  • 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 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 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.

Desired Qualifications

  • 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.

About the Company

HARMAN International

Produces audio systems, infotainment, enterprise automation

Harman International is a global leader in audio and connected technologies, serving automotive, consumer, and enterprise markets. It designs, manufactures, and markets a broad range of products, including audio systems, infotainment solutions, and enterprise automation. The company’s products work by integrating high-quality audio hardware with connected services and software—think car infotainment systems, premium home and portable audio, and enterprise automation tools—often featuring well-known brands such as JBL, Harman Kardon, and AKG. Harman competes by leveraging its diverse brand portfolio, global reach, and emphasis on smart experiences and seamless connectivity across devices and vehicles, along with substantial investment in research and development. Its goal is to remain a leading provider of audio and connected technology, delivering integrated solutions that enhance entertainment, connectivity, and productivity for consumers and businesses alike.

Company size
10,001+
Company stage
Acquired
Total funding
$8B
Headquarters
Stamford, CT
Founded
1980

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