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.