<div><p><b>A Career at HARMAN Automotive</b></p></div><div><div><div><div><div><div><div><div><div><p>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.</p><ul><li><p>Engineer audio systems and integrated technology platforms that augment the driving experience</p></li><li><p>Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence</p></li><li><p>Advance in-vehicle infotainment, safety, efficiency, and enjoyment</p></li></ul></div></div></div></div></div></div></div></div></div><p></p><p><b>About the Role</b></p><p>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.</p><p>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.</p><p>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.</p><p></p><p><b>What You Will Do</b></p><p></p><p><b>1. Platform Architecture & Technical Authority</b></p><ul><li><p>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.</p></li><li><p>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.</p></li><li><p>Technical Vision: Set the long-term technical direction for the platform, evaluating emerging technologies and defining the roadmap for platform evolution.</p></li></ul><p></p><p><b>2. Data Pipeline Development & Engineering Excellence</b></p><ul><li><p>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.</p></li><li><p>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.</p></li><li><p>Python & Framework Development: Build and maintain Python-based pipeline frameworks, utilities, and reusable components that accelerate team delivery and enforce consistency.</p></li><li><p>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.</p></li><li><p>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.</p></li></ul><p></p><p><b>3. Data Platform & Infrastructure Engineering</b></p><ul><li><p>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.</p></li><li><p>Integration Architecture & Development: Design and build complex integrations with internal and external data sources, including APIs, streaming pipelines, and event-driven architectures.</p></li><li><p>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.</p></li><li><p>Environment Strategy: Own the strategy for environment consistency and reliability across Dev, QA, and Production — designing promotion workflows and environment parity standards.</p></li></ul><p></p><p><b>4. Deployment, DevOps & Infrastructure as Code</b></p><ul><li><p>Release Strategy: Define and own the deployment strategy for data pipelines, infrastructure, and platform components across all environments.</p></li><li><p>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.</p></li><li><p>Cloud & Platform Architecture: Drive architectural decisions across modern cloud platforms (AWS, Azure, Databricks), designing scalable, cost-effective, and secure data solutions.</p></li><li><p>CI/CD Architecture: Architect end-to-end CI/CD pipelines for automated testing, validation, and deployment of both application code and infrastructure.</p></li><li><p>Source Control & Engineering Practices: Define and enforce Git workflows, branching strategies, code review practices, and version control standards across the team.</p></li></ul><p></p><p><b>5. Technical Leadership, Standards & Mentorship</b></p><ul><li><p>Engineering Leadership: Provide deep technical mentorship to Senior and Junior Platform Engineers — elevating team capabilities through pairing, design reviews, and hands-on guidance.</p></li><li><p>Standards & Governance: Define and enforce coding standards, architectural guidelines, data governance policies, and engineering best practices across the platform.</p></li><li><p>Cross-Team & Stakeholder Alignment: Partner with System Architects, Engineering Managers, and senior stakeholders to align platform implementation with enterprise strategy and business objectives.</p></li><li><p>Documentation & Knowledge Sharing: Drive creation of architectural decision records, design documents, and comprehensive technical documentation that enables team autonomy.</p></li></ul><p></p><p><b>6. AI-Assisted Development & Platform Evolution</b></p><ul><li><p>AI-Driven Engineering: Leverage and champion AI-assisted tools to accelerate development, debugging, testing, and documentation across the team.</p></li><li><p>Platform Innovation: Identify and drive opportunities to improve platform efficiency through automation, reusable frameworks, and self-service capabilities.</p></li><li><p>Continuous Improvement & Industry Leadership: Stay at the forefront of modern data platform, AI, and engineering trends — evaluating and introducing technologies that advance platform maturity.</p></li></ul><p></p><p><b>What Success Looks Like</b></p><ul><li><p>Platform architecture is well-defined, scalable, and consistently implemented across all components</p></li><li><p>Complex SQL and Python pipelines you build serve as reference implementations and team standards</p></li><li><p>Architectural decisions accelerate team delivery and reduce technical debt</p></li><li><p>Complex issues are resolved permanently through architectural fixes, not workarounds</p></li><li><p>Data flows efficiently through well-governed, well-structured architecture layers</p></li><li><p>Infrastructure is robust, scalable, and fully automated through Infrastructure as Code (IaC)</p></li><li><p>CI/CD and infrastructure processes are architected for reliability, speed, and auditability</p></li><li><p>Senior and Junior engineers grow under your mentorship and adopt your engineering standards</p></li><li><p>Platform capabilities continuously evolve in performance, maturity, and self-service enablement</p></li></ul><p></p><p><b>What You Need to Be Successful</b></p><ul><li><p><b>Expert-level SQL development skills</b> — capable of authoring complex transformations, performance-tuning queries, and defining SQL development standards for the team</p></li><li><p><b>Expert-level Python development skills</b> — capable of building production-grade pipeline frameworks, utilities, and data processing logic</p></li><li><p>Deep experience with PostgreSQL, relational databases, and SQL-based transformation logic</p></li><li><p><b>Extensive experience architecting and building data pipelines</b>, ETL/ELT, and data processing workflows end-to-end</p></li><li><p><b>Experience architecting, implementing, and governing Infrastructure as Code</b> using tools such as Terraform, Pulumi, ARM/Bicep, CloudFormation, or similar</p></li><li><p>Deep experience with PySpark, Spark, Databricks, or distributed data processing at scale</p></li><li><p><b>Extensive hands-on experience with cloud platforms</b> (AWS, Azure, Databricks) at an architectural level</p></li><li><p>Proven ability to design, implement, and govern CI/CD pipelines and DevOps practices at enterprise scale</p></li><li><p>Strong experience with Git workflows, branching strategies, and source control governance</p></li><li><p>Advanced troubleshooting, performance engineering, and optimization skills</p></li><li><p>Deep experience designing, building, and troubleshooting APIs and complex data integration patterns</p></li><li><p>Experience designing highly available, fault-tolerant distributed systems at enterprise scale</p></li><li><p>Strong understanding of data governance, metadata management, lineage, and data quality architectures</p></li><li><p>Experience with streaming and event-driven architectures</p></li><li><p>Demonstrated ability to mentor, lead, and elevate engineering teams through technical authority and hands-on contribution</p></li></ul><p></p><p><b>Bonus Points if You Have </b></p><ul><li><p>Experience architecting enterprise-scale Lakehouse platforms using Databricks, Delta Lake, Unity Catalog, and Delta Live Tables (DLT)</p></li><li><p>Experience with real-time and event-driven data architectures using Kafka, Event Hubs, Kinesis, or similar streaming technologies</p></li><li><p>Experience implementing data observability, lineage, and monitoring platforms (e.g., Monte Carlo, Datafold, OpenLineage, Unity Catalog)</p></li><li><p>Experience designing and enforcing DataOps practices, data contracts, and domain-oriented data ownership models</p></li><li><p>Experience with containerization and orchestration technologies such as Docker and Kubernetes</p></li><li><p>Experience building platform engineering capabilities including self-service infrastructure, reusable platform components, and internal developer platforms</p></li><li><p>Experience implementing enterprise security architectures including RBAC, secrets management, encryption, and zero-trust principles</p></li><li><p>Experience optimizing cloud cost, performance, and capacity planning for large-scale data platforms</p></li><li><p>Experience supporting AI/ML platforms, feature stores, model deployment infrastructure, or MLOps tooling</p></li><li><p>Experience with modern software engineering practices including test automation, platform reliability engineering, and Site Reliability Engineering (SRE) principles</p></li><li><p>Experience with metadata management, data catalogs, lineage, and governance frameworks</p></li><li><p>Experience leading large-scale platform modernization, cloud migration, or data platform transformation initiatives</p></li><li><p>Experience working in manufacturing, automotive, supply chain, IoT, or other data-intensive enterprise environments</p></li><li><p>Contributions to open-source projects, technical publications, conference presentations, or recognized industry thought leadership</p></li><li><p>Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field; Master's degree preferred</p></li></ul><p></p><p><b>What we offer</b> </p><ul><li><p>Work in international teams with the world’s largest automotive manufacturers.</p></li><li><p>Use HARMAN Flex – choose the right working model fitting their job (Hybrid or Office)</p></li><li><p>Access career development opportunities and get both on the job training on high-end automotive projects, as well as extensive technical trainings.</p></li><li><p>Access HARMAN Webshop with large employee discounts for audio products (JBL, HARMAN Kardon, AKG)</p></li><li><p>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.</p></li><li><p>And of course, enjoy meal tickets, a premium medical subscription, fitness discounts and other corporate perks.</p></li></ul><p></p><p>#LI-IG1</p>