Senior Data Engineer

Vivanti Consulting; City of Melbourne; On-site; AUD 180,000 - 250,000; Full time

Benefits offered by this job

Mentoring program

Progress reviews

Guilds & Training

Paid certifications

Hackathons

Kudos & recognition

Team socials

Job summary

Vivanti Consulting is seeking a Senior Data Architect in Melbourne to bridge business strategy with advanced data engineering. You will design end-to-end data architectures for scale, influencing both technical and executive stakeholders, and lead modern data operations and governance programs.

You’ll drive enterprise data platforms, oversee migrations from on‑prem to cloud, and promote responsible AI/LLM infrastructure while mentoring teams and contributing to a culture of continuous learning

Qualifications

• Experience bridging business strategy with data engineering in enterprise environments.
• Proven ability to design end-to-end data architectures at scale.
• Experience migrating on-prem to cloud.
• Strong communication with executives and technical teams.
• Certifications in Google/AWS/Azure data engineering.
• Experience with Generative AI or LLM infrastructure.

Responsibilities

• Design and oversee end-to-end data architectures.
• Bridge between engineering teams and executives.
• Set DataOps standards and CI/CD for data pipelines.
• Lead data governance and security programs.
• Optimize large-scale distributed systems.
• Mentor and lead data engineering staff.

Skills

Architectural leadership

Strategic consulting

Data governance

Performance tuning

Cloud migrations

Stakeholder influence

Generative AI

Open-source contributions

Tools

Terraform/Pulumi

CI/CD tooling

Data platforms (Lakehouse/Mesh/Fabric)

Job description

What You’ll Get

• A platform for growth: Work across industries, clients and technologies that stretch your thinking and build your personal and professional skills.
• Access global businesses: Work with some of the world's biggest brands
• IP, frameworks and accelerators: We share what we know. Our playbooks and toolkits fast-track your success on projects.
• All the shiny tech: Databricks, Snowflake, Azure, GCP, AWS - you’ll use it, play with it and maybe even break it (responsibly).
• Senior consultants who have your back: You’ll always have a guide on your journey, not just be thrown into the deep end.
• Serious learning support: Paid certs, weekly training, guilds, hackathons, mentoring and more.
• Progress that’s transparent: Annual reviews based on feedback, not vague vibes. Clear goals, solid feedback and real growth.
• Kudos and rewards: We celebrate wins, reward impact and offer long-term incentives.
• Real connection: From Friday socials to annual team building days - we work hard and play harder.

What We’re Looking For

We are looking for a Senior Data Architect who bridges the gap between high-level business strategy and deep-tier data engineering. You aren't just a diagram builder; you are a systems thinker with a "consultant’s pulse" someone who has spent years in the trenches of enterprise environments, navigating complex legacy debt to build modern, scalable data products.

Architectural Leadership: Design and oversee the implementation of end-to-end data architectures (Data Lakehouse, Mesh, or Fabric) tailored for high-scale enterprise needs.

Strategic Consulting: Act as a bridge between technical engineering teams and executive stakeholders, translating complex technical constraints into actionable business roadmaps.

Engineering Excellence: Set the standard for DataOps, including CI/CD integration, automated testing for data pipelines, and infrastructure-as-code (Terraform/Pulumi).

Data Governance & Security: Architect robust frameworks for data privacy (GDPR/CCPA), master data management (MDM), and metadata cataloging.

Performance Tuning: Audit and optimize large-scale distributed systems to reduce latency and cloud consumption costs.

Ideally you'll have;

Enterprise Background: Experience working with (or for) Tier-1 consulting firms or Fortune 500 internal enterprise teams.

Legacy-to-Cloud Migrations: A proven track record of successfully migrating complex, on-premise ecosystems to the cloud.

Influence & Communication: The ability to command a room of stakeholders and defend architectural decisions with data-driven logic.

Relevant certifications (e.g., Google Professional Data Engineer, AWS Certified Data Engineer – Associate/Professional, or Azure Data Engineer Associate).

Experience implementing Generative AI or LLM infrastructure within an enterprise data ecosystem.

Contributions to the open-source data community or a history of speaking at industry conferences.

Your work matters and so do you. That’s why we back your skills with a structure that supports your development, celebrates your wins, and helps you keep growing professionally and personally.

Here’s what’s waiting for you:

• Mentoring Program - with a Senior Support Lead
• Progress Reviews - honest feedback, not fluff
• Guilds & Weekly Training - learn from your peers
• Paid Certifications - across all major technologies
• Hackathons & Innovation Days - challenge yourself, build cool stuff
• Kudos & Recognition Programs - great work doesn’t go unnoticed
• Socials & Team Days - Data-Coolada Fridays, Team Building days, and more

Final Word

If you're looking for the place where your growth will go into overdrive, where you'll work with great humans, get access to cutting-edge tools and genuinely enjoy the ride? Welcome to Vivanti.