Chief Architect - Data Engineering (Databricks Practice)
Unison Group Open · verified Oct 24, 2026 At a glance
C-Suite Data Engineering role at Unison Group. Singapore · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Set architecture and design choices for Databricks projects, keeping platforms secure, scalable and performant
- Lead production data platforms from ingestion and transformation through governance, orchestration and BI or ML use
- Plan and run major migrations to Databricks on Azure, AWS or GCP, from assessment through cutover
- Stay hands-on with tuning, debugging, code reviews and engineering standards while mentoring the team
- Lead presales from discovery and estimates through PoCs and proposals, then explain and defend designs to executives
What you bring
- At least twelve years in data engineering or architecture, including three or more years using Databricks at enterprise scale
- Advanced Spark skills spanning architecture, performance tuning, streaming and debugging
- Strong Python, SQL or Scala skills, plus experience with data-platform CI/CD and integrating ML or AI
- A track record leading large transformation programs and selling, pricing and defending technical solutions
Who this fits
This suits a hands-on technical leader who can guide engineers, shape reusable offerings and present architecture decisions to executives. The role is based on-site in Singapore.
From the employer
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.
Architecture & Delivery
- 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.
Presales & Stakeholder Management
- Own and defend 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.
Who Thrives Here
- 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
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