Chief Architect - Data Engineering (Databricks Practice)

Unison Group; Toronto; On-site; CAD 140,000 - 210,000; Full time

Job summary

Unison Group is seeking a Lead Solution Architect - Data Engineering to design and defend enterprise Databricks architectures, lead production-grade data platforms, and drive cloud transformations across Azure/AWS/GCP. You will own end-to-end delivery, mentor engineers, and shape accelerators and assets for the practice.

You will also lead presales activities, translate trade-offs for executives, and collaborate with CTOs to ensure secure, scalable data solutions with Lakehouse best practices.

Qualifications

• 12+ years in data engineering/architecture
• 3+ years on Databricks at enterprise scale
• Strong Python/SQL/Scala and CI/CD for data platforms
• Experience migrating large datasets to lakehouse architectures
• Databricks Data Engineer Professional / SA accreditations strongly preferred

Responsibilities

• Own end-to-end architecture and design decisions on Databricks engagements
• Lead delivery of production-grade data platforms — ingestion, transformation, orchestration, governance through Unity Catalog, and downstream BI/ML enablement
• Lead large-scale migrations and cloud transformation projects to Databricks on Azure/AWS/GCP
• Stay hands-on: performance tuning, debugging, code and design reviews, and setting engineering standards for the team
• mentor engineers and create accelerators and reusable assets, and contribute to go-to-market offerings
• Presales end-to-end: discovery, solutioning, estimation, PoCs, RFPs, and proposals that convert

Skills

Data engineering

Data architecture

Presales instinct

Cloud data platforms

Tools

Databricks

Unity Catalog

Delta Lake

Airflow

MLflow

OpenAI API

Anthropic API

Microsoft Fabric

CI/CD for data platforms

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'll 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