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!

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