Principal Platform Engineer

Description & Requirements

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 Senior/Principal Platform Engineer, you will serve as the technical authority for Harman's BI, AI, and Data platforms — owning both the architecture and hands-on development of scalable data pipelines, platform components, and infrastructure that enable reliable analytics and AI capabilities.

You will operate at the intersection of architecture and execution, personally designing and building complex SQL and Python-based data pipelines while setting the technical direction for the broader platform. You will define architectural patterns, drive engineering excellence, and remain deeply embedded in the codebase — writing production-grade code that sets the standard for the team.

This role requires exceptional technical depth, architectural vision, and the ability to lead through both design authority and hands-on contribution. You will shape platform strategy, drive cross-team alignment, and ensure the long-term scalability, reliability, and evolution of the data platform.

What You Will Do

1. Platform Architecture & Technical Authority

• Architectural Ownership: Define and own the end-to-end architecture of data pipelines, platform services, and infrastructure — making binding technical decisions on design, tooling, and patterns.

• Hands-On Development: Personally architect and build complex SQL and Python-based data pipelines, writing production-grade code that serves as the reference implementation for the team.

• Technical Vision: Set the long-term technical direction for the platform, evaluating emerging technologies and defining the roadmap for platform evolution.

2. Data Pipeline Development & Engineering Excellence

• Pipeline Architecture & Development: Design, architect, and personally build high-complexity data pipelines for ingestion, transformation, and processing at scale — using Python, PySpark, and SQL as primary development languages.

• SQL & Transformation Development: Author advanced SQL transformation logic, complex query patterns, and performant data models aligned with enterprise data architecture. Establish SQL development standards and reusable patterns for the team.

• Python & Framework Development: Build and maintain Python-based pipeline frameworks, utilities, and reusable components that accelerate team delivery and enforce consistency.

• Code Quality & Standards: Define and enforce coding standards for SQL and Python development across the team. Conduct deep code reviews and establish patterns for testability, maintainability, and performance.

• Performance Engineering: Lead root-cause analysis and resolution of complex pipeline failures, performance bottlenecks, and data inconsistencies — applying deep expertise in query optimization and distributed processing.

3. Data Platform & Infrastructure Engineering

• Data Architecture Ownership: Architect and enforce structured data layers (e.g., Bronze/Silver/Gold), defining schemas, data contracts, and quality gates that ensure scalability and governance.

• Integration Architecture & Development: Design and build complex integrations with internal and external data sources, including APIs, streaming pipelines, and event-driven architectures.

• Infrastructure as Code Leadership: Architect and implement Infrastructure as Code strategies using best-in-class tools, defining patterns and modules that enable repeatable, scalable provisioning.

• Environment Strategy: Own the strategy for environment consistency and reliability across Dev, QA, and Production — designing promotion workflows and environment parity standards.

4. Deployment, DevOps & Infrastructure as Code

• Release Strategy: Define and own the deployment strategy for data pipelines, infrastructure, and platform components across all environments.

• Infrastructure as Code Architecture: Architect enterprise-grade infrastructure provisioning using tools such as Terraform, Pulumi, or similar — defining module structures, state management, and governance patterns.

• Cloud & Platform Architecture: Drive architectural decisions across modern cloud platforms (AWS, Azure, Databricks), designing scalable, cost-effective, and secure data solutions.

• CI/CD Architecture: Architect end-to-end CI/CD pipelines for automated testing, validation, and deployment of both application code and infrastructure.

• Source Control & Engineering Practices: Define and enforce Git workflows, branching strategies, code review practices, and version control standards across the team.

5. Technical Leadership, Standards & Mentorship

• Engineering Leadership: Provide deep technical mentorship to Senior and Junior Platform Engineers — elevating team capabilities through pairing, design reviews, and hands-on guidance.

• Standards & Governance: Define and enforce coding standards, architectural guidelines, data governance policies, and engineering best practices across the platform.

• Cross-Team & Stakeholder Alignment: Partner with System Architects, Engineering Managers, and senior stakeholders to align platform implementation with enterprise strategy and business objectives.

• Documentation & Knowledge Sharing: Drive creation of architectural decision records, design documents, and comprehensive technical documentation that enables team autonomy.

6. AI-Assisted Development & Platform Evolution

• AI-Driven Engineering: Leverage and champion AI-assisted tools to accelerate development, debugging, testing, and documentation across the team.

• Platform Innovation: Identify and drive opportunities to improve platform efficiency through automation, reusable frameworks, and self-service capabilities.

• Continuous Improvement & Industry Leadership: Stay at the forefront of modern data platform, AI, and engineering trends — evaluating and introducing technologies that advance platform maturity.

What Success Looks Like

• Platform architecture is well-defined, scalable, and consistently implemented across all components

• Complex SQL and Python pipelines you build serve as reference implementations and team standards

• Architectural decisions accelerate team delivery and reduce technical debt

• Complex issues are resolved permanently through architectural fixes, not workarounds

• Data flows efficiently through well-governed, well-structured architecture layers

• Infrastructure is robust, scalable, and fully automated through Infrastructure as Code (IaC)

• CI/CD and infrastructure processes are architected for reliability, speed, and auditability

• Senior and Junior engineers grow under your mentorship and adopt your engineering standards

• Platform capabilities continuously evolve in performance, maturity, and self-service enablement

What You Need to Be Successful

• Expert-level SQL development skills — capable of authoring complex transformations, performance-tuning queries, and defining SQL development standards for the team

• Expert-level Python development skills — capable of building production-grade pipeline frameworks, utilities, and data processing logic

• Deep experience with PostgreSQL, relational databases, and SQL-based transformation logic

• Extensive experience architecting and building data pipelines , ETL/ELT, and data processing workflows end-to-end

• Experience architecting, implementing, and governing Infrastructure as Code using tools such as Terraform, Pulumi, ARM/Bicep, CloudFormation, or similar

• Deep experience with PySpark, Spark, Databricks, or distributed data processing at scale

• Extensive hands-on experience with cloud platforms (AWS, Azure, Databricks) at an architectural level

• Proven ability to design, implement, and govern CI/CD pipelines and DevOps practices at enterprise scale

• Strong experience with Git workflows, branching strategies, and source control governance

• Advanced troubleshooting, performance engineering, and optimization skills

• Deep experience designing, building, and troubleshooting APIs and complex data integration patterns

• Experience designing highly available, fault-tolerant distributed systems at enterprise scale

• Strong understanding of data governance, metadata management, lineage, and data quality architectures

• Experience with streaming and event-driven architectures

• Demonstrated ability to mentor, lead, and elevate engineering teams through technical authority and hands-on contribution

Bonus Points if You Have

• Experience architecting enterprise-scale Lakehouse platforms using Databricks, Delta Lake, Unity Catalog, and Delta Live Tables (DLT)

• Experience with real-time and event-driven data architectures using Kafka, Event Hubs, Kinesis, or similar streaming technologies

• Experience implementing data observability, lineage, and monitoring platforms (e.g., Monte Carlo, Datafold, OpenLineage, Unity Catalog)

• Experience designing and enforcing DataOps practices, data contracts, and domain-oriented data ownership models

• Experience with containerization and orchestration technologies such as Docker and Kubernetes

• Experience building platform engineering capabilities including self-service infrastructure, reusable platform components, and internal developer platforms

• Experience implementing enterprise security architectures including RBAC, secrets management, encryption, and zero-trust principles

• Experience optimizing cloud cost, performance, and capacity planning for large-scale data platforms

• Experience supporting AI/ML platforms, feature stores, model deployment infrastructure, or MLOps tooling

• Experience with modern software engineering practices including test automation, platform reliability engineering, and Site Reliability Engineering (SRE) principles

• Experience with metadata management, data catalogs, lineage, and governance frameworks

• Experience leading large-scale platform modernization, cloud migration, or data platform transformation initiatives

• Experience working in manufacturing, automotive, supply chain, IoT, or other data-intensive enterprise environments

• Contributions to open-source projects, technical publications, conference presentations, or recognized industry thought leadership

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field; Master's degree preferred

What we offer

• Work in international teams with the world’s largest automotive manufacturers.

• Use HARMAN Flex – choose the right working model fitting their job (Hybrid or Office)

• Access career development opportunities and get both on the job training on high-end automotive projects, as well as extensive technical trainings.

• Access HARMAN Webshop with large employee discounts for audio products (JBL, HARMAN Kardon, AKG)

• Are encouraged to a healthy work/life balance with a progressive holiday plan based on total work experience, 2 sick days, 3 days off compensation for weekend legal holidays and flextime.

• And of course, enjoy meal tickets, a premium medical subscription, fitness discounts and other corporate perks.

#LI-IG1

Pay Transparency

Ft 15,570,000 - Ft 22,836,000

The above represents the annual gross base salary range for this role.

Variable compensation and allowances: Dependent on the position offered, other forms of compensation may also be available, such as quarterly or annual bonus pay, commission payments, long term incentive compensation, or certain allowances. Further details will be made available as part of the recruitment process.

How we set pay: The pay posted is a reasonable estimate of the wage range anticipated for this position. Pay is determined using objective, job-related criteria such as relevant experience, skills, role scope/responsibilities, and location-based market factors (where applicable). In appropriate circumstances, based on objective, job-related factors, the final determination on pay may deviate from the posted range.

Pay history: Please do not include current or past pay information in your application. We do not request pay history as part of our recruitment process.

Benefits: HARMAN is interested in supporting the health and wellbeing of employees and offers a range of benefits. Offerings vary by country and employment arrangement and reflect a combination of statutory requirements and company-provided programs. These may include paid time off and holidays, sick and family leave, as well as health and wellbeing support and retirement or savings plans where applicable, along with other locally relevant benefits. Further details will be made available as part of the recruitment process.

About HARMAN: Where Innovation Unleashes Next-Level Technology 

Ever since the 1920s, we’ve been amplifying the sense of sound. Today, that legacy endures, with integrated technology platforms that make the world smarter, safer, and more connected.  

Across automotive, lifestyle, and digital transformation solutions, we create innovative technologies that turn ordinary moments into extraordinary experiences. Our renowned automotive and lifestyle solutions can be found everywhere, from the music we play in our cars and homes to venues that feature today’s most sought-after performers, while our digital transformation solutions serve humanity by addressing the world’s ever-evolving needs and demands. Marketing our award-winning portfolio under 16 iconic brands, such as JBL, Mark Levinson, and Revel, we set ourselves apart by exceeding the highest engineering and design standards for our customers, our partners and each other. 

If you’re ready to innovate and do work that makes a lasting impact, join our talent community today!

Important Notice: Recruitment Scams

Please be aware that HARMAN recruiters will always communicate with you from an '@harman.com', ‘@careers.harman.com’ or ‘@harmanglobal.avature.net’ email address. We will never ask for payments, banking, credit card, personal financial information or access to your LinkedIn/email account during the screening, interview, or recruitment process. If you are asked for such information or receive communication from an email address not ending in one of the above email domains about a job with HARMAN, please cease communication immediately and report the incident to us through: E-mail cím mutatása itt jobsearch.harman.com.

You Belong Here 

HARMAN is committed to making every employee feel welcomed, valued, and empowered. No matter what role you play, we encourage you to share your ideas, voice your distinct perspective, and bring your whole self with you – all within a support-minded culture that celebrates what makes each of us unique. We also recognize that learning is a lifelong pursuit and want you to flourish. We proudly offer added opportunities for training, development, and continuing education, further empowering you to live the career you want.  

HARMAN is proud to be an Equal Opportunity employer. HARMAN strives to hire the best qualified candidates and is committed to building a workforce representative of the diverse marketplaces and communities of our global colleagues and customers.  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. HARMAN attracts, hires, and develops employees based on merit, qualifications and job-related performance.() 

HARMAN is committed to providing reasonable accommodations to applicants with disabilities. If you need assistance or an accommodation during the application process, please contact us at  E-mail cím mutatása itt jobsearch.harman.com . Requests will be considered on a case-by-case basis in accordance with applicable law.