Chief Architect - Data Engineering (Databricks Practice)

Hong Kong Unison Limited

Singapore

On-site

SGD 250,000 - 380,000

Full time

27 hours ago
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Job summary

Unison Consulting is seeking a Lead Solution Architect – Data Engineering to drive end‑to‑end Databricks engagements across APAC. You will lead architecture decisions, oversee the delivery of data platforms, and mentor engineers while shaping go‑to‑market offerings.

The ideal candidate has 12+ years in data engineering/architecture, deep Spark expertise, and hands‑on experience with large migrations and cloud transformations across Azure, AWS, or GCP.

Qualifications

  • 12+ years in data engineering/architecture.
  • 3+ years on Databricks at enterprise scale.
  • Deep Spark expertise and lakehouse fluency.
  • Experience with Delta Lake, Unity Catalog and governance.

Responsibilities

  • Own end‑to‑end architecture and design decisions on Databricks engagements.
  • Lead delivery of production‑grade data platforms (ingestion, transformation, orchestration, governance).
  • Drive large migrations and cloud transformations across Azure/AWS/GCP.
  • Hands‑on tuning, reviews, and setting engineering standards for the team.

Skills

Databricks
Data architecture
Python/SQL/Scala
Spark
CI/CD for data platforms
ML/AI integration
Presales leadership
Leadership / mentoring
Cloud platforms (Azure/AWS/GCP)

Education

Bachelor's degree in Computer Science or related field

Tools

Unity Catalog
Delta Lake
Airflow
MLflow

Job description

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.
Presales & Stakeholder Management
  • 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.
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
Unlock job insights

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.

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