Unison Group

Builds financial risk and compliance systems

Data Architect - Databricks Practice

Data EngineeringConfirmed live in the last 24 hours

Full-timeKuala Lumpur, Federal Territory of Kuala Lumpur, MalaysiaNo salary listedIn-person

About the Job

Requirements

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 covering ingestion, transformation, orchestration, governance through Unity Catalog, and downstream business intelligence and machine learning enablement.
Lead large-scale migrations of legacy data warehouses and extract-transform-load systems, Hadoop, and on-premises estates, and cloud transformation projects to Databricks on Azure, AWS, or Google Cloud Platform, including assessment, wave planning, and cutover.
Stay hands-on with performance tuning, debugging, code and design reviews, and setting engineering standards for the team.
Own and defend enterprise solution designs in front of architecture boards, chief information officers, and chief technology officers.
Drive presales end-to-end, including discovery, solutioning, estimation, proofs of concept, requests for proposals, and proposals.
Translate technical trade-offs into decisions executives can act on.
Have 12+ years in data engineering or architecture, including 3+ years working with Databricks at enterprise scale.
Have deep Apache Spark expertise covering architecture, performance tuning, streaming, and debugging.
Have Lakehouse fluency, including Medallion architecture, Delta Lake, Unity Catalog, governance, and orchestration.
Have experience leading large transformation programs.
Have presales experience, including designing, selling, pricing, and defending solutions.
Have strong Python, SQL, and Scala skills, data-platform continuous integration and continuous delivery experience, and comfort integrating machine learning and artificial intelligence, including MLflow and large language model APIs such as OpenAI and Anthropic.
Have curiosity, adaptability, and drive to build offerings as well as deliver projects.

Responsibilities

Lead solution design on client engagements and own and defend enterprise architectures in presales.
Drive large-scale migration and cloud transformation programs.
Mentor engineers, create accelerators and reusable assets, and convert delivery success into case studies and go-to-market offerings.

Desired Qualifications

Microsoft Fabric exposure is a bonus.
Databricks Data Engineer Professional or Solution Architect accreditations are strongly preferred.

Data Architect(Databricks Practice)

Unison Group · Kuala Lumpur, Malaysia · Full-time · Posted 2026-10-14

Salary: unknown currency 10,000–20,000

Workplace: on_site

Department: Noresh

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

Requirements

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.

Apply

Apply at Unison Group

About the Company

Unison Group

Builds financial risk and compliance systems

Unison Group builds technology systems for financial institutions that need to manage risk, meet reporting rules and modernize their operations. Its consultants work across liquidity, market and credit risk, combining financial knowledge with software implementation and data analysis. The business also designs cloud infrastructure and develops custom applications, connecting these systems with the information and processes clients already use. It earns money through consulting, technology implementation and engineering services for enterprises, with work ranging from system design to deployment. Founded as Unison Consulting in 2012, the group is headquartered in Singapore.

Company size: 201-500
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: 2012

Recently Posted Jobs

Explore more opportunities at Unison Group

See more jobs