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About the Role
Lead Snowflake-based AI data platform builds across major transformation programs for complex Australian organisations, tackling issues like cyber, trust, resilience, and digital transformation. This role involves mentoring, coaching, and leadership to make a significant impact.
Responsibilities
- Design, build, and operationalize reliable data products and pipelines on Snowflake.
- Contribute to the underlying data platform.
- Enable analytics, machine learning, and GenAI solutions on Snowflake.
- Reframe platform, data engineering, and AI conversations around demonstrable value.
- Ensure every proposal and delivery increment carries a bold, outcome-changing idea.
Requirements
- 5+ years of experience in data architecture, data engineering, or cloud data platform delivery.
- Substantial hands-on experience with Snowflake and at least one major cloud platform.
- At least one formal Snowflake or relevant cloud certification.
- Strong experience across at least two of the following: Advanced Snowflake SQL, data modelling and performance optimisation; dbt and SQL-based transformation frameworks; Python and Snowpark development; Batch and streaming ingestion using Snowpipe, Snowpipe Streaming or comparable integration tooling; Data pipeline development using Dynamic Tables, Streams and Tasks; Data engineering for AI and machine learning workloads, including trusted data preparation, feature and vector data pipelines, and integration with Snowflake-native AI services.
- Hands-on development experience in AWS, Microsoft Azure and/or Google Cloud.
- Strong SQL and database skills.
- Strong grasp of data fundamentals, preferably with experience across databases, data warehouses, data lakes and other enterprise storage solutions.
Skills
- Snowflake
- Cloud data platform delivery
- Major cloud platform (AWS, Azure, GCP)
- Snowflake SQL
- Data modelling
- Performance optimisation
- dbt
- SQL-based transformation frameworks
- Python
- Snowpark development
- Batch ingestion
- Streaming ingestion
- Snowpipe
- Snowpipe Streaming
- Dynamic Tables
- Streams
- Tasks
- AI and machine learning data engineering
- Trusted data preparation
- Feature data pipelines
- Vector data pipelines
- Snowflake-native AI services
- Application development (Streamlit in Snowflake or Snowflake Native Apps)
- AWS
- Microsoft Azure
- Google Cloud
- SQL
- Database skills
- Data warehouses
- Data lakes
- Enterprise storage solutions
Location
- Australia
Work Type
- Full-time
Experience Level
- Manager
- 5+ years
Education Level
- Formal Snowflake or relevant cloud certification
Benefits
- Retail discounts
- Wellbeing leave
- Paid volunteering days
- Twelve flexible working options
- Market-leading parental leave
- Return to work support package
About the Company
- Deloitte's AI & Data team is transforming how businesses use cloud-native technologies to solve complex challenges in data, machine learning, and AI.
- We help clients design and implement agentic AI strategies, deliver significant productivity improvements, and create enduring business value.
- Deloitte and Snowflake have a market-leading global alliance, and our work supporting clients is growing rapidly.
- Our AI & Data team comprises more than 500 specialist practitioners across Australia.
- We work with public and private sector clients, helping them design and implement world-leading solutions and capabilities.
- Our technology relationships with market-leading vendors such as Amazon, Microsoft, Google, Databricks, Snowflake and Informatica enable our practitioners to remain at the forefront of new and emerging capabilities and deliver our suite of services at scale.
- We are consistently recognised as leaders in Cloud, Data, Analytics and AI.
Equal Opportunity
- We embrace diversity, equity and inclusion.
- We have a diverse collection of people from different backgrounds, with different experiences, gender identities, abilities and thinking styles.
- What binds us together is a shared commitment to value everyone's perspective and to cultivate inclusion; so that our work environment is a safe space we can all belong.