Your Task

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.