Senior-Principal Data Engineer/Architect About the Company Our client is a fast-growing technology consultancy specialising in data, analytics, AI and cloud solutions. They help organisations modernise their technology environments and get more value from their data, working with leading platforms including Databricks, Microsoft Azure and Microsoft Fabric. What sets them apart is the combination of deep technical capability and genuine consulting expertise.

As their Australian Data Practice expands, they’re looking for an experienced Senior-Principal Data Engineer/Architect to join the team.

About the Role This is a senior, hands-on consulting role for someone who pairs strong Data Engineering/Architecture funamentals with the confidence to work directly with clients. You’ll stay close to the technology, designing solutions, building pipelines and writing code, while also mentoring other engineers as the practice grows.

What You’ll Be Doing

Designing, building and optimising data pipelines across data lakes, lakehouses and warehouses

Delivering production-grade solutions on Databricks and cloud data technologies

Developing transformations using Python, PySpark and SQL

Working with Databricks notebooks, workflows and Lakeflow Declarative Pipelines (formerly Delta Live Tables)

Applying Lakehouse and Medallion architecture patterns

Designing robust data models for analytics, reporting and downstream consumption

Applying DevOps practices including Git, CI/CD and automated deployment

Implementing testing, data validation, monitoring and performance optimisation

Working directly with clients to translate business needs into pragmatic technical solutions

Collaborating with architects on solution design,



estimation and delivery planning

Leading technical discussions with both technical and non-technical stakeholders

Conducting peer reviews and mentoring junior and intermediate engineers

Contributing to reusable frameworks, templates and engineering standards

What You’ll Bring

6+ years’ experience in Data Engineering or Data Platforms

Strong hands-on experience delivering production solutions on Databricks

Strong in Python, PySpark, SQL, ETL/ELT pipelines and complex transformations

Solid understanding of Medallion and Lakehouse architecture works

Strong data modelling knowledge (dimensional, Star and Snowflake)

Cloud data platform experience, ideally Microsoft Azure

DevOps and software engineering practices (version control, CI/CD, automated deployment)

Experience with testing and data quality in production environments

Excellent communication skills and confidence working with senior stakeholders

Ability to work autonomously while collaborating across multidisciplinary teams

Advantageous:

Databricks Certifications.

The Person They’re Looking For Someone who enjoys working with customers, asks the right questions and looks beyond the technical requirement to the problem behind it. You’ll take ownership, make pragmatic decisions, explain them clearly, and enjoy helping other engineers grow. Most importantly, you want to stay hands-on while developing as a consultant.

Why Join?

Help shape how the Data Practice delivers, rather than inheriting set processes

Work with modern technology, compelling clients and experienced people across Data, Integration, Cloud and AI

A culture where curiosity is encouraged, ideas are heard and people are trusted to take ownership

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📌 Senior-Principal Data Engineer/Architect (Haymarket)
🏢 Precision Sourcing
📍 Haymarket