Salary: $180,000 – $250,000

What You’ll GetA 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 brandsIP, 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 ForWe 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/Skilled, 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 LeadProgress Reviews - honest feedback, not fluffGuilds & Weekly Training - learn from your peersPaid Certifications - across all major technologiesHackathons & Innovation Days - challenge yourself, build cool stuffKudos & Recognition Programs - great work doesn’t go unnoticedSocials & Team Days - Data-Coolada Fridays, Team Building days, and moreFinal WordIf 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.#J-18808-Ljbffr

📌 Senior Data Engineer (Melbourne)
🏢 Vivanti Consulting
📍 Melbourne