Nawamin Road, Bangkok, Thailand
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Listing record updated: October 9, 2026. We archive records after 60 days without an update. This date does not confirm that the employer is still hiring.
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The company seeks a Senior Data Architect to manage the foundational infrastructure for the data platform. Responsibilities include adopting Terraform for infrastructure-as-code, building governed CI/CD pipelines, designing rollback orchestration, enforcing cost-allocation tagging, and chairing the Change Advisory Board. The role also involves publishing reference architecture and advising leadership on technology choices.
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.
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.
Multi-cloud production experience and / or platform-engineering background (internal developer platforms, golden paths).
Data Mesh / data-as-a-product implementation at scale.
Regulated-industry experience (retail PDPA, finance, healthcare); AI workload capacity planning (GPU, vector DB, LLM cost modelling).
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