Manuka AI is a modern, Databricks-only consulting firm on a mission to reinvent how organisations build, scale, and monetise data and AI.
We work with ambitious enterprises across Australia and New Zealand to design modern data platforms that actually deliver value — not shelfware.We're looking for experienced Databricks Solution Architects to join our growing team.
In this role, you'll partner closely with customers to architect, design, and deliver high-performance data and AI platforms on Databricks running on AWS or Azure.This is a hands-on, customer-facing role that blends deep technical expertise, strategic advisory, and real delivery ownership.
You'll help shape architectures, guide teams, and ensure customers get maximum return from their Databricks investment.What You'll DoArchitect the future of data & AI - Design modern lakehouse, real-time analytics, and AI-ready data platforms using Databricks.
Define reference architectures and best practices that scale securely and cost-effectivelyLead transformational engagements - Guide customers through migrations, platform modernisation, and Databricks adoption.
Act as a trusted technical advisor across architecture, delivery, and roadmap decisionsEnable seamless integration - Optimise integrations between Databricks and upstream/downstream systems including ingestion tools, BI platforms, ML pipelines, and governance frameworksBe the Databricks authority - Advise on performance tuning, cost optimisation, security, and governance.
Help customers design for reliability, observability, and long-term maintainabilityElevate teams - Run workshops, architecture sessions, and hands-on enablement.
Mentor engineers and help uplift data engineering and analytics maturityCollaborate deeply - Work alongside Manuka AI architects, engineers, and Databricks field teams.
Contribute to internal accelerators, reusable IP, and delivery playbooksWhat We're Looking ForCore experience5+ years experience in data engineering,



solution architecture, or cloud platformsStrong hands-on experience with Databricks, including Apache SparkTM, Delta Lake, and MLflowProficiency in Python, SQL, or Scala, with a solid grasp of ELT/ETL patternsExperience designing data platforms on AWS or AzureUnderstanding of cloud security, identity, networking, and data governance conceptsBackground in technical consulting, solution architecture, or qualified servicesConfident communicator who can engage with both technical teams and senior stakeholdersStrong problem-solving skills and a bias toward practical, outcome-driven solutionsMindsetCurious, adaptable, and excited by AI-driven deliveryPassionate about simplifying complex data problems and building things that lastNice to HaveDatabricks certifications (Data Engineer, ML, or Solutions Architect)Knowledge of AI/ML pipelines, MLOps, or feature engineeringWhy Join Manuka AI?
AI-native from day one - we design, sell, and deliver with AI embedded in how we workDatabricks-only focus - deep specialisation, not diluted generalismHigh-impact work – real transformations, not endless slidewareStrong ecosystem ties – embedded in the Databricks ANZ communityFlexible work culture – remote-friendly with hybrid optionsCompetitive compensation – market-leading salary plus performance incentivesGrowth & learning – certifications, partner access, and leadership pathwaysWe're a startup - That means no internal politics, no empire-building, and no hiding behind process.
We value people who take initiative, challenge ideas respectfully, and focus on shipping real outcomes for customers.Our Commitment to InclusionManuka AI is committed to building a diverse, inclusive workplace where different backgrounds, perspectives, and paths into tech are welcomed and valued.
We believe better teams build better data platforms.Ready to Build What's Next?
If you're excited about modern data platforms, AI-driven delivery, and pushing the boundaries of what Databricks can do, we'd love to talk.
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📌 Databricks Solution Architect(S) (New South Wales)
🏢 Manuka ANZ | The Databricks People
📍 New South Wales