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About the Role
As a Specialist Lead in our AI & Data team, you’ll bridge complex data challenges and robust, cloud-native solutions. You will combine deep technical expertise with consulting acumen to design, build, and optimize large-scale AWS data platforms for high-profile clients.
Responsibilities
- Design highly scalable, secure data platforms using AWS services (Glue, Redshift, Athena, RDS, Lambda, MSK, Managed Flink, SageMaker, S3, LakeFormation, Quick) alongside tools like Airflow and dbt.
- Direct multidisciplinary teams to untangle complex data engineering, platform automation, CI/CD, and advanced analytics problems.
- Drive the adoption of cutting-edge AI and agentic workflows to scale and accelerate the delivery of modern data platforms.
- Embed DevOps and FinOps best practices, including infrastructure as code, platform monitoring, data control planes, and cost optimization.
- Partner with Solution Architects and business stakeholders to translate goals into technical blueprints.
- Build production-grade ETL/ELT pipelines using SQL, Python, and big data frameworks to manage complex and diverse data sources.
- Coach, inspire, and set the technical standard for teams.
- Shape Deloitte's IP, run hackathons, host webinars, and help define the future of data offerings.
Requirements
- 5+ years delivering large-scale, multi-cloud Data & AI platforms with a focus on AWS, ideally within consulting.
- Deep hands-on experience with AWS Data & AI services.
- Significant experience in SQL and Python.
- Proven capability in engineering enterprise-grade streaming architectures and scalable data stores using frameworks like Apache Spark, Flink, Storm, and Kafka.
- Solid background in data modeling, modern data warehousing, and data lake design.
- Proven experience leading technical teams.
- Experience communicating with non-technical stakeholders.
- Experience driving real change.
Skills
- AWS Data & AI services
- SQL
- Python
- Apache Spark
- Apache Flink
- Apache Storm
- Apache Kafka
- Data Modeling
- Data Warehousing
- Data Lake Design
- DevOps
- FinOps
- Infrastructure as Code
- CI/CD
- ETL/ELT
Location
- Australia
Work Type
- Flexible working options
Experience Level
- Specialist Lead
- 5+ years
Education Level
- AWS Certified Solutions Architect (Associate required, Professional highly preferred)
Benefits
- Access to free and confidential coaching for wellbeing, financial, and nutrition.
- 18 weeks paid parental leave.
- 12 months return to work support (work 4 days and get paid 5).
- International PlaceFlex to work from select countries.
- Retail discounts.
- Wellbeing leave.
- Paid volunteering days.
- Twelve flexible working options.
About the Company
- Our diverse AI & Data team comprises over 500 specialist practitioners across Australia, focused on combining business acumen and technological expertise to create data-centric solutions.
- We work with public and private sector clients to design and implement world-leading solutions and capabilities, impacting areas from transport networks to vaccine rollout programs and sustainability.
- Our relationships with vendors like AWS, Databricks, Google, dbt Labs, Snowflake, Salesforce, and Informatica keep our practitioners at the forefront of new capabilities.
- We are consistently recognized as leaders in Cloud, Data, Analytics, and AI.
- At Deloitte, we focus on interesting and impactful work, continuous learning, innovation, and making a positive difference to clients and society.
- We prioritize coaching to help people grow their careers.
- We embrace diversity, equity, and inclusion, valuing everyone's perspective and cultivating an inclusive environment.
- We value in-person connection and offer flexible ways to work.
- We help people live and work well through a range of perks and benefits.
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.