Senior Data Platform Engineer
On-site Nawamin Road Full-time Senior Data Engineering
At a glance
Senior Data Engineering role at Makro PRO. Nawamin Road · full-time.
Pay not stated Data Platform Engineer salary
RoleData Engineering
SenioritySenior
LocationNawamin Road
WorkplaceOn-site
EmploymentFull-time
PostedJul 2, 2026 · 3mo ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build and run the API Gateway baseline, covering authentication, traffic limits, observability, versioning and contract checks
- Develop the knowledge graph service, including its schema, ingestion, query interface and scaling
- Operate event-stream and semantic-layer services for downstream catalogue use and internal product teams
- Maintain the data-product catalogue with freshness targets, schema agreements and governance at publication
- Create vector-search infrastructure, legacy integration patterns, and Python and TypeScript SDKs for platform consumers
What you bring
- A computer science, engineering or related degree, plus at least eight years building software
- Production responsibility for platform services used across multiple teams, with strong Python and senior-level TypeScript skills
- API design experience with OpenAPI, REST or gRPC, including versioning, compatibility rules and contract testing
- Production experience in knowledge graphs, event streaming or vector databases, plus distributed-systems fundamentals
- Cloud and Databricks or equivalent lakehouse experience, and SDK design for more than one programming language
Who this fits
This senior engineering role suits someone who has owned platform services in production and can build interfaces and client libraries for internal teams. The job is onsite on Nawamin Road in Thailand.
From the employer
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.
Requirements
- 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.
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