Senior Data Platform Engineer at Makro PRO

Bangkok, , Thailand -

Full Time

Start Date

Immediate

Expiry Date

30 Sep, 26

Salary

0.0

Posted On

02 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, TypeScript, API Design, Knowledge Graphs, Event Streaming, Vector Databases, Distributed Systems, SDK Design, Databricks, Azure, OpenAPI, gRPC, REST, Semantic Layer, Data Product Catalogue, Anti-Corruption-Layer Patterns

Industry

Software Development

Description

The Senior Data Platform Engineer builds the platform-services layer that turns the enterprise data platform into a product — API Gateway baseline, knowledge graph, event stream, semantic layer, data-product catalogue, vector search, anti-corruption-layer patterns, and the Python / TypeScript SDK framework that internal product teams consume. This is a senior software-engineering role focused on shipping platform capability with API contracts, SDKs, and governance baked in. Key Responsibilities Design, build, and operate the platform API Gateway baseline — authentication, rate limiting, observability, versioning, contract tests, deprecation policy. Build and operate the Knowledge Graph platform — schema design, ingestion, query API, scaling, observability — exposed as a platform service to internal consumers. Build and operate the Event Stream platform — domain-event topology, partitioning, schema registry, retention; integrate with downstream catalogue and KG. Build and operate the Semantic Layer service — business-meaningful query API on top of the lakehouse, consumed by internal product teams and AI agents. Build and maintain the Data Product Catalogue — data-product registration, freshness SLOs, schema contracts, governance hooks at publish time. Build and operate the Vector Search Service infrastructure (pgvector, Milvus, Qdrant, or comparable) — index, scaling, observability — partnered with AI engineering on embedding model selection and retrieval relevance. Author and maintain the Anti-Corruption-Layer Patterns Library — reusable patterns for legacy system integration (Oracle, SAP, WMS) via events and ACL only; never direct DB writes. Build and maintain the Python and TypeScript SDK framework — consumed by product teams and AI engineering for all platform-service calls. Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline. 8+ years software engineering with production ownership of platform services at multi-team scale. Strong Python (production services, async, observability) and TypeScript at senior level. API-first design discipline — OpenAPI 3.1, REST, gRPC; versioning, semver, deprecation policies, contract tests. Production experience with at least one of: knowledge graphs (Neo4j, Neptune, TigerGraph), event streaming (Kafka, Event Hubs), or vector databases (pgvector, Milvus, Qdrant). Distributed systems fundamentals — concurrency, message queues, idempotency, observability, performance. SDK / client library design for multi-language consumption; semver, breaking-change policy, documentation discipline. Cloud + Databricks (or equivalent lakehouse) production experience; Azure preferred. Preferred Qualifications Production knowledge-graph experience at scale (multi-million entities); semantic layer / data products in production. Multi-language SDK design across Python and TypeScript / Java; OSS library maintenance. Retail / commerce data integration — Oracle (RMS, RPM, PMS, SIM), SAP, WMS; strangler-fig patterns. Vendor certifications such as Databricks Data Engineer Professional, Azure Solutions Architect, or comparable.

Responsibilities

Design and operate the platform-services layer, including the API Gateway, Knowledge Graph, and Event Stream platforms. Build and maintain the Semantic Layer, Data Product Catalogue, and multi-language SDKs for internal product teams.