Chief Architect - Data Engineering (Databricks Practice)

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

Lead the end-to-end architecture and delivery of enterprise data and AI solutions using Databricks across the APAC region. Drive presales activities, including solution design and proposals, while mentoring engineers and creating reusable practice assets.

Requires over 12 years of experience in data engineering with at least 3 years of enterprise-scale Databricks expertise. Candidates must be proficient in Spark, Lakehouse patterns, and cloud migrations, with strong presales instincts and professional certifications preferred.

• Microsoft AzurePreferred
• SQLPreferred
• CI/CDPreferred
• Amazon Web ServicesPreferred
• Google CloudPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Databricks
• Apache Spark
• Data Engineering
• Lakehouse Architecture
• Unity Catalog
• Python
• SQL
• Scala
• Cloud Transformation
• Presales
• Delta Lake
• CI/CD
• MLflow
• Azure
• AWS
• GCP

• Data & Analytics
• Technology
• Consulting
• Software
• Management & Leadership

Minimum education

Professional degree

Minimum experience

10+ years

Apply by

Feb 16, 2027

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level

Application method

Direct apply is available