Chief Architect - Data Engineering (Databricks Practice)
Summary
Lead Solution Architect for a Databricks practice, owning end-to-end data platform architecture, leading presales with C-level stakeholders, and driving large-scale cloud migration programs across APAC using Databricks, Spark, and Delta Lake on Azure/AWS/GCP.
We are building a fast-growing Databricks practice delivering enterprise data and AI solutions across APAC. As Lead Solution Architect – Data Engineering, you will be the technical anchor of the practice: leading solution design on client engagements, owning and defending enterprise architectures in presales, and driving large-scale migration and cloud transformation programs. This is a hands‑on leadership role for a builder who can equally command a whiteboard in front of a CTO and a Spark UI when a pipeline misbehaves. You will also shape the practice itself — mentoring engineers, creating accelerators and reusable assets, and converting delivery success into case studies and go-to-market offerings.
- Own end-to-end architecture and design decisions on Databricks engagements, ensuring solutions are secure, scalable, performant, and aligned with Lakehouse best practices.
- Lead delivery of production‑grade data platforms — ingestion, transformation, orchestration, governance through Unity Catalog, and downstream BI/ML enablement.
- Lead large‑scale migrations (legacy DW/ETL, Hadoop, on‑prem estates) and cloud transformation projects to Databricks on Azure/AWS/GCP, including assessment, wave planning, and cutover.
- Stay hands‑on: performance tuning, debugging, code and design reviews, and setting engineering standards for the team.
- Own anddefend enterprise solution designs in front of architecture boards, CIOs, and CTOs — and enjoy it.
- Drive presales end‑to‑end: discovery, solutioning, estimation, PoCs, RFPs, and proposals that convert.
- Translate hard technical trade‑offs into decisions executives can act on — from engineer to boardroom without changing gears.
- A builder at heart — 12+ years in data engineering/architecture, 3+ on Databricks at enterprise scale, and still happiest when hands are on the keyboard.
- Deep Spark expertise — architecture, performance tuning, streaming, debugging, the advanced stuff that separates architects from diagram-drawers.
- Lakehouse fluency — Medallion architecture, Delta Lake, Unity Catalog, governance, orchestration (Workflows, DLT/Lakeflow, Airflow, ADF); Microsoft Fabric exposure a bonus.
- Battle‑tested in migrations — you’ve led large transformation programs and have the scars and success stories to show for it.
- Presales instinct — you don't just design solutions; you sell them, price them, and defend them under fire.
- Modern edge — strong Python/SQL/Scala, CI/CD for data platforms, and comfort integrating ML/AI (MLflow, LLM APIs like OpenAI and Anthropic) into what you build.
- Certified credibility — Databricks Data Engineer Professional / SA accreditations strongly preferred.
- Founder energy — curiosity, adaptability, and the drive to build offerings, not just deliver projects
Hirer responsiveness Salary match Number of applicants
Unison Consulting established in the year 2012 in Singapore. We provide technology consulting, systems implementation, and integrations service to Asia Pacific customers. We help transform enterprise data in actionable insights. Our consultants have wide range of functional expertise within Banking and Financial services spectrum, working closely with clients to anticipate, illuminate and overcome complex business challenges.
Our objective is to be a one‑stop solution provider all enterprise business intelligence and data warehousing needs of organizations.
Our mission is to consistently deliver our services to our clients in a cost‑effective way without compromising the quality.
Our current clients include - DBS, OCBC, Standard Chartered Bank and Maybank.
Unison Consulting established in the year 2012 in Singapore. We provide technology consulting, systems implementation, and integrations service to Asia Pacific customers. We help transform enterprise data in actionable insights. Our consultants have wide range of functional expertise within Banking and Financial services spectrum, working closely with clients to anticipate, illuminate and overcome complex business challenges.
Our objective is to be a one‑stop solution provider all enterprise business intelligence and data warehousing needs of organizations.
Our mission is to consistently deliver our services to our clients in a cost‑effective way without compromising the quality.
Our current clients include - DBS, OCBC, Standard Chartered Bank and Maybank.