Data & AI Architect
Posted 13hrs ago
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Job Description
Data and AI Architect leading Databricks lakehouse architecture and production generative AI delivery. Shaping client solutions, proofs of concept, and reusable consulting assets in the Philippines.
Responsibilities:
- Lead pre-contract technical solutioning and subsequent delivery, preserving continuity from proposal to production
- Split time approximately equally between client engagement and delivery, flexing with the pipeline
- Shape technical approaches, challenge problem statements and facilitate discovery workshops
- Produce target-state architectures, build sequences, proposal assumptions, exclusions, risks and defensible estimates
- Design four-to-six-week proofs of concept and serve as technical peer to client architects, data leaders and CIOs
- Own end-to-end architecture and, where required, lead delivery, scope, stand-ups and client technical activities
- Implement demanding components and reference solutions hands-on
- Deliver Databricks lakehouses, including medallion layers, Unity Catalog, Delta Lake, ingestion and orchestration
- Build production generative AI systems covering RAG, agents, evaluation, prompt/context engineering, cost and latency
- Set CI/CD, infrastructure-as-code, testing, observability and cost standards
- Mentor client engineers and manage production readiness and handover
- Turn delivery experience into reference architectures, accelerators, templates and estimation models
- Contribute to Frontier Academy and maintain current recommendations across Databricks, Microsoft and Anthropic
- Help shape and eventually lead a small delivery team, including recruitment
Requirements:
- About eight years in data/AI engineering and architecture, including three years with substantive design authority and senior client-facing consulting exposure
- Databricks experience: lakehouse architecture, Delta Lake, Unity Catalog, Spark/PySpark, Lakeflow or Delta Live Tables, orchestration, performance and cost optimisation
- Azure/Microsoft experience: Data Factory or Fabric, ADLS, Azure OpenAI or AI Foundry, Entra ID and networking
- Production generative AI experience with RAG, vector stores, agents/tool use, evaluation, guardrails and prompt/context engineering, including Claude or an equivalent frontier model
- Strong production Python and SQL
- Sound data-modelling judgement across dimensional, data vault and wide denormalised approaches
- DevOps/MLOps fundamentals: version control, CI/CD, infrastructure as code, containers and monitoring
- Excellent written and spoken English for executive proposals, decision records and presentations
- Databricks Professional or Azure Solutions Architect Expert certification (desirable)
- Big Four, global systems integrator or specialist consultancy experience, including bids, statements of work and estimation (desirable)
- Applied responsible AI governance and delivery experience in financial services, retail or travel (desirable)
- Experience with Australian/APAC clients, Snowflake, dbt, Power BI or Fabric, and mentoring small engineering teams (desirable)
Benefits:
- No benefits, perks, or compensation extras are specified



















