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Open nowPosted 94 days ago

Senior Data Architect - Data Platform

Workable (global search)108,016 open roles

Where
Nawamin Road, Bangkok, Thailand
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Your applicationOpen nowSenior Data Architect - Data PlatformWorkable (global search) · Nawamin Road, Bangkok, Thailand

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Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 94 days ago

Workable (global search) median: 7 days open

The posting

We are seeking an experienced Senior Data Architect to own the foundations every other data-platform role depends on: Infrastructure-as-Code (Terraform), CI / CD for data and ML, FinOps, the Change Advisory Board, and the reference architecture. The board-level outcome is double-digit cloud cost reduction with credible attribution, alongside the platform principle that 'no production change happens outside the pipeline'.

Key Responsibilities:

  • Adopt Terraform as the infrastructure standard for 100% of new and existing data-platform infrastructure; run weekly drift detection; design a reusable, versioned, documented module library.
  • Build the governed CI / CD spine — every code change validated against pipeline-standard compliance, approval, and auto Jira update; target sub-hour deployment lead time and 100% coverage of core repos.
  • Design and test rollback orchestration with sub-15-minute recovery; run quarterly game days.
  • Enforce cost-allocation tagging policy (team, domain, environment, project) on every cloud resource; publish baseline cost report and per-model / per-use-case attribution; author the Cost Optimization Playbook.
  • Chair the Change Advisory Board — lineage gate, audit trail, centralized tracking; impact-assess every system / schema change before approval.
  • Publish and maintain the platform reference architecture and Architecture Decision Records (ADRs); chair the Architecture Review Board.
  • Advise leadership on build vs buy across feature store, catalogue supplements, observability, and GenAI tooling.
  • Mentor tech leads across data, ML, AI, and service engineering on platform standards; influence without authority — your designs ship because they are pragmatic, not because they are mandated.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline.
  • 8+ years in data / cloud engineering, with 4+ years in architect or staff / principal-equivalent roles owning
  • platform-wide standards.
  • Deep cloud experience on at least one major hyperscaler (Azure strongly preferred; AWS / GCP transferable for the right candidate).
  • Production experience with Databricks or equivalent lakehouse (Snowflake, BigQuery).
  • Terraform at scale — module design, state management, drift handling, environment promotion.
  • CI / CD for data systems — notebook deployments, pipeline configs, schema migrations, blue / green for data jobs.
  • FinOps leadership — owned a cost-reduction target with measurable, attributable results.
  • Strong on IAM, networking, encryption, secrets management in regulated cloud environments; can author crisp ADRs and chair an Architecture Review Board.

Preferred Qualifications

  • Multi-cloud production experience and / or platform-engineering background (internal developer platforms, golden paths).
  • Data Mesh / data-as-a-product implementation at scale; streaming architecture (Kafka / Event Hubs, Flink, Spark Streaming).
  • Regulated-industry experience (retail PDPA, finance, healthcare); AI workload capacity planning (GPU, vector DB, LLM cost modelling).
  • Vendor certifications such as HashiCorp Terraform Associate / Professional, Azure Solutions Architect Expert, or Databricks Solutions Architect.
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