Principle Platform Engineer
HybridBudapest, Budapest, Hungary
Job Summary
Own the end-to-end architecture of data pipelines, platform services, and infrastructure for Harman's BI, AI, and Data platforms. Personally architect and build complex SQL and Python-based data pipelines using PySpark and Databricks, establishing coding standards and reference implementations for the team. Define architectural patterns, enforce Infrastructure as Code strategies with Terraform or Pulumi, and drive CI/CD pipelines across AWS, Azure, and cloud environments. Lead root-cause analysis for performance bottlenecks, manage environment parity across Dev, QA, and Production, and provide deep technical mentorship to Senior and Junior engineers. Shape platform strategy, ensure long-term scalability and governance, and align cross-team delivery with enterprise objectives.
Required Qualifications
- Expert-level SQL development skills
- Expert-level Python development skills
- 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
- Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field
Desired Qualifications
- Master's degree
- 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
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