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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.