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About the Role

As a Senior Databricks Consulting Engineer, you will serve as a trusted technical advisor and strategic partner to enterprise customers, guiding them through data and AI transformation journeys by designing, implementing, and optimizing modern data platforms on Databricks.

Responsibilities

• Act as the primary technical advisor for strategic Databricks customers.
• Design and review scalable data, analytics, and AI architectures leveraging the Databricks Lakehouse Platform.
• Lead architecture workshops, solution design sessions, and technical roadmap discussions.
• Translate business requirements into technical solutions and implementation plans.
• Advise customers on platform modernization, cloud migration, data governance, and AI initiatives.
• Support the successful implementation and adoption of Databricks solutions.
• Review data engineering, analytics, machine learning, and GenAI workloads for scalability, performance, security, and cost optimization.
• Identify and resolve technical blockers during customer engagements.
• Drive architectural best practices for data pipelines, Lakehouse design, Unity Catalog, governance, and platform operations.
• Serve as a subject matter expert on Databricks capabilities and emerging data and AI technologies.
• Mentor customer teams and internal consultants on architecture patterns and best practices.
• Deliver executive presentations, technical workshops, and enablement sessions.
• Contribute to reusable assets, reference architectures, and practice development initiatives.
• Partner with sales and account teams during strategic customer engagements.
• Support technical discovery, solution positioning, and proposal development.
• Provide architecture guidance during pre-sales and proof-of-concept activities.
• Identify opportunities for platform expansion and increased customer value.

Requirements

• 7+ years of experience in data engineering, cloud architecture, analytics, or related fields.
• 3+ years working with Databricks in enterprise environments.
• Strong expertise in modern data platform architecture and cloud-native solutions.
• Hands-on experience designing and implementing Lakehouse architectures.
• Experience with at least one major cloud platform (Microsoft Azure preferred, AWS, or Google Cloud Platform).
• Experience engaging with executive stakeholders and technical leadership teams.
• Excellent communication and presentation skills in English.
• Must currently reside in Australia and possess the legal right to work in the country.

Skills

• Databricks Data Intelligence Platform
• Apache Spark
• Delta Lake
• Unity Catalog
• Data Governance & Security
• Data Warehousing and Lakehouse Design
• ETL/ELT Architectures
• Data Modeling
• Python
• SQL
• Spark

Location

• Australia

Work Type

• Remote-friendly

Experience Level

• Senior

Salary/Compensations

• Competitive compensation package

Benefits

• Continuous learning and certification support
• Flexible and remote-friendly working environment
• Collaborative, entrepreneurial, and international culture

About the Company

• Leading data and AI consultancy helping organizations accelerate digital transformation through modern data platforms, advanced analytics, and AI-driven solutions.
• Specializes in Big Data, Cloud, Streaming, IIoT, and Microservices.
• Established in 2010 with 8 offices across 10 countries.
• Trusted Databricks partner with a commitment to open source.

Equal Opportunity

• We evaluate candidates based on skills, experience, and business fit, and welcome applicants from all backgrounds.