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About the Role
As a Senior Specialist Lead (Senior Manager) – Data Architect within our AI & Data team, you’ll combine deep technical expertise with strong consulting skills to design, deliver, and optimise complex, large-scale data pipelines and platforms for our clients. You will play a critical role in shaping next-generation, cloud-native data solutions leveraging leading AWS and data/AI technologies.
Responsibilities
- Lead multidisciplinary teams to address clients’ complex data challenges across data architecture, platform automation, DevOps best practices, CI/CD, data governance, and advanced analytics.
- Design and deliver scalable, secure AWS data platforms using services such as Glue, Redshift, Athena, RDS, Lambda, MSK (Kafka), Managed Flink, SageMaker, Airflow, and dbt.
- Embed DevOps best practices including automation, infrastructure as code, CI/CD, and platform monitoring.
- Partner with Solution Architects and stakeholders to translate business and platform requirements into fit for purpose technical solutions.
- Drive automation and platform optimisation to improve scalability, reliability, and cost efficiency.
- Build ETL/ELT pipelines using SQL, Python, and big data technologies across diverse, high volume data sources.
- Deliver data modelling, analytics, and AI/ML solutions to support batch and real time insights.
- Support data governance initiatives across data quality, security, testing, and compliance.
- Apply strong software engineering practices to modern data platform development.
- Advise clients on data integration, platform, and data quality challenges using best practice approaches.
- Coach, develop, and inspire your team, setting high standards for delivery excellence and technical leadership.
- Collaborate with practice and alliance leaders to grow capability and shape Deloitte’s data and AI offerings.
- Drive community initiatives such as technical forums, webinars, hackathons, and contribute to the development of new Deloitte IP and solutions.
Requirements
- A minimum of 8 years of experience in large-scale data transformation, solution delivery and project management experience in a professional services environment.
- Excellent verbal and written communication skills to adapt to technical and non-technical audiences.
- Experience working with a structured project delivery environment will be highly regarded.
- Experience with designing and building ETL/ELT frameworks using metadata-driven approach, big data processing frameworks such as spark, storm & flink, data pipeline design and development.
- Experience designing and building real-time streaming data pipelines using Kafka, knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Solid experience with data modelling, data warehouse design and data lake concepts and practices.
- Experience leading or managing teams and change initiatives.
- Experience of building production-grade cloud solutions (AWS, Databricks, Snowflake, GCP).
- Must be AWS Certified Solutions Architect (“Associate” minimum, “Professional” preferred).
Skills
- AWS
- Data Architecture
- Platform Automation
- DevOps
- CI/CD
- Data Governance
- Advanced Analytics
- Glue
- Redshift
- Athena
- RDS
- Lambda
- MSK (Kafka)
- Managed Flink
- SageMaker
- Airflow
- dbt
- Infrastructure as Code
- Platform Monitoring
- SQL
- Python
- Big Data Technologies
- Data Modelling
- AI/ML
- Software Engineering
- Data Integration
- Data Quality
- Databricks
- Snowflake
- GCP
Location
- Australia
Work Type
- Flexible Working Options
- PlaceFlex
Experience Level
- Senior Manager
- 8+ years
Education Level
- AWS Certified Solutions Architect (Associate or Professional)
Benefits
- Access to free and confidential coaching for you and your family including wellbeing, financial and nutrition coaching.
- 18 weeks paid parental leave + 12 months return to work support (work 4 days and get paid 5).
- 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, each of whom are constantly curious and excited about combining their business acumen and technological expertise to create data-centric solutions that help solve complex problems and transform, or reinvent our client’s business.
- Our Data & AI team work with public and private sector clients helping them to design and implement world leading solutions and capabilities.
- We are the partner of choice for our clients and our alliance vendors.
- Our relationships with market leading vendors such as AWS, Databricks, Google, dbt Labs, Snowflake, Salesforce, and Informatica enable our practitioners to be at the forefront of new and emerging capabilities and to deliver our suite of services at scale.
- We are consistently recognised as leaders in Cloud, Data, Analytics and AI, including in the latest analyst reports.
- At Deloitte, we focus our energy on interesting and impactful work.
- We’re always learning, innovating and setting the standard; making a positive difference to our clients and our society.
- We put coaching at the heart of what we do, helping our people grow their careers in any direction – whether it be up, moving into something new, or even moving across the world.
- We value in-person connection with our clients and our colleagues.
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.