Principal Data Engineer at V2 Digital

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

11 Jun, 26

Salary

0.0

Posted On

13 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Databricks, Spark, Lakehouse Architecture, Data Pipelines, Cloud-Native Technologies, Data Governance, Data Modelling, Batch Processing, Streaming Data, ML Integration, Generative AI Enablement, Technical Strategy, Data Orchestration, Monitoring, Data Quality, Observability

Industry

IT Services and IT Consulting

Description

About V2 AI V2 AI is a leading AI-Native consultancy backed by $30m in VC funding, allowing us to meet our customers' needs. We harness the power of AI to accelerate business outcomes for some of the world's largest brands. We bring decades of experience and a unique delivery model to partner with our customers on the most complex problems for immense, measurable impact. Our Services AI Strategy & Governance AI Enablement Applied AI Data & AI Security About the Role: As a Principal Data Engineer (Databricks), you will lead the design, architecture, and delivery of modern data platforms at scale. You will drive the development of Databricks-based lakehouse architectures, building robust data pipelines, scalable data products, and cloud-native data platforms that power advanced analytics and AI. You will work closely with architects, AI engineers, and product teams to deliver complex data solutions across the full lifecycle from data ingestion and transformation through to analytics, machine learning, and generative AI enablement. In this role, you will also mentor engineers, influence technical strategy, and help shape data engineering standards and best practices across V2 AI, driving technical excellence across the organisation. What you will do: Define the architecture and technical direction for modern data platforms, with a strong focus on Databricks and lakehouse architecture Design and deliver scalable data pipelines and data engineering solutions using Databricks and cloud-native technologies Drive best practices for data engineering, data platform architecture, and data governance Collaborate with AI, product, data, and architecture teams to shape data platform strategy, data models, and engineering standards Lead the design and implementation of batch and streaming data pipelines Advise and mentor engineers, influencing architecture decisions, data engineering practices, and platform design Guide the integration of data platforms with machine learning, analytics, and generative AI workloads Champion reusable data frameworks, data models, and platform accelerators across the organisation Help establish best practices across data orchestration, monitoring, data quality, and observability Stay at the forefront of modern data engineering, Databricks, and cloud data platforms, sharing insights internally and externally About You: Extensive experience designing and delivering modern data platforms and data engineering solutions at a Principal or Lead level Deep expertise with Databricks, Spark, and lakehouse architecture Strong experience building scalable data pipelines and distributed data processing systems Experience with data platform technologies such as Databricks, Snowflake, and modern cloud data ecosystems Strong cloud experience across AWS, Azure or GCP Deep understanding of data modelling, data governance, and scalable data architectures Experience integrating data platforms with AI/ML and analytics workloads Skilled at defining technical strategy, setting engineering standards, and driving best practices across teams Experience mentoring engineers and influencing technical decisions across multiple projects Passionate about building high-quality data platforms, reusable frameworks, and scalable engineering solutions Excellent communicator and collaborator, able to translate complex technical concepts for stakeholders across engineering, product, and leadership teams Benefits; Competitive Salary package Pick your equipment Gifted Day Off ("VersionUp Day") Generous parental leave Well funded start up $$$ Annual Training budget Mentorship Program Clear promotion pathways Flexible working Meet-ups & socials 97% Rating on corporate social responsibility APPLY NOW: If you are keen to join one of the fastest-growing consultancies in this space and interested in shaping the future of V2 AI, then APPLY NOW!

Responsibilities

The Principal Data Engineer will lead the design, architecture, and delivery of modern data platforms, focusing heavily on Databricks and lakehouse architectures to build scalable data products and pipelines. This role involves driving best practices, shaping technical strategy, and mentoring engineers across the full data lifecycle, including integration with advanced analytics and AI workloads.