Data Platform Developer REF5116I

We are seeking an experienced Data Platform Developer to strengthen the clarity and consistency of our cloud-based Lakehouse platform architecture. Your primary mission is to define evolve and enforce platform-level architectural standards and contracts so teams build solutions consistently and transparently - with a shared understanding of what belongs where why it belongs there and how it moves through the platform. A key focus is establishing clear semantics and promotion rules across our layered data architecture (from raw ingestion to curated consumption-ready data).

As part of the Common Data Intelligence Hub you will collaborate with data architects data engineers analytics engineers and solution designers to drive a target platform architecture and an architectural runway (platform enablers) that unlocks future use cases - without owning day-to-day development or operations.

Responsibilities

• Define document and continuously refine layer semantics and promotion rules across Landing Sources Bronze Silver and Gold (what belongs where quality gates required metadata and readiness criteria and ensure these rules are embedded in governance tooling such as Databricks Unity Catalog or Microsoft Fabric OneLake.
• Establish and govern platform guardrails and contracts including schema evolution CDC principles at platform level data/interface contracts between layers and key non-functional requirements (reliability performance security cost).
• Own and evolve the platform reference architecture including capability/service boundaries responsibilities standard integration patterns and architectural standards.
• Drive the target platform architecture and an incremental roadmap towards it maintaining a prioritized architectural runway of platform enablers and technical debt initiatives.
• Support and review solution designs for new use cases ensuring alignment with platform standards governance requirements and the layered architecture.
• Establish an architecture documentation practice that remains current and usable (templates ADRs review checklists clear artifact ownership and regular drift checks).
• Ensure consistent representation of the platform within enterprise architecture tooling and processes (e.g. LeanIX) and act as the interface to enterprise architecture stakeholders.
• Partner with Data Architects and domain teams to ensure platform rules enable high-quality modelling and cross-domain consistency - while keeping ownership of business semantics/canonical models with the Data Developer role.

Qualifications :

• 3-5 years of experience in data platform architecture including at least 2 years in cloud-based data architecture (Lakehouse/Data Warehouse/Data Lake).
• Proven ability to define and enforce architecture standards that are adopted across teams (guardrails review gates exception handling).
• Strong understanding of Lakehouse concepts including layering governance schema evolution CDC implications and operational quality attributes.
• Experience collaborating with cross-functional stakeholders (engineering teams governance/security enterprise architecture product/domain stakeholders).
• Excellent communication skills in English (spoken and written) able to make complex architecture understandable and actionable.
• Hands-on experience with Agile development methodologies (SAFe TOGA SCRUM KANBAN etc.).

Skills   

• Cloud data ecosystem architecture e.g. Azure (ADF Databricks Unity Catalog) AWS (Glue EMR Lake Formation) or Google Cloud (Dataflow Dataproc Dataplex) and comparable Lakehouse governance patterns.
• Architecture standards & documentation as code (ADRs templates structured diagrams versioned documentation).
• Platform-level governance patterns (catalog access controls auditability lineage concepts).
• Data engineering architecture fundamentals (batch/streaming trade-offs reliability patterns observability requirements schema evolution).
• Defining layer semantics and platform contracts that reduce ambiguity and enable scale.
• Translating target architecture into a practical roadmap (runway/enablers sequencing trade-offs).
• Solution design facilitation and review (focus on platform conformance and long-term maintainability).
• Systems thinking and strong conceptual clarity; ability to turn ambiguity into crisp rules and boundaries.
• Influencing without authority; facilitation across multiple teams and domains.
• Pragmatism: balances architectural idealism with delivery constraints and incremental progress.
• Ability to work in cross-functional teams and support collaborative knowledge transfer.

Additional Information :

• Solution Design knowledge is advantage.

* Please be informed that our remote working possibility is only available within Hungary due to European taxation regulation.

Remote Work :

No

Employment Type :

Full-time