Data Delivery Architect
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View all similar roles →Data Engineer
- Design, build and deploy modern data platforms and pipelines
- Relevant degree or equivalent experience and certifications required
- Snowflake, Denodo, Databricks, Azure Data Factory, FHIR, HL7
Graduate Data Engineers
- Build modern data platforms, pipelines & AI solutions
- Graduate role for recent university graduates
- Python, SQL, Databricks, cloud platforms (Azure/AWS/GCP)
Senior Data Engineer (Python / AWS / ML Pipelines)
- Build and operate large-scale data and ML pipelines in production
- Senior-level experience with production data and ML systems
- Python, AWS (SageMaker, Glue, Step Functions), Apache Airflow
Lead Data Engineer
- Build modern data pipelines and AI platforms for healthcare
- Significant experience in modern lakehouse architectures and data engineering
- Python, SQL, Azure, Fabric, CI/CD, LLMs, data governance
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
We are hiring a Delivery Architect – Enterprise Reporting to lead the design, development, and deployment of Enterprise Reporting solutions. This role requires expertise in Data Platforms, Analytics and Business Intelligence, strong leadership in solution delivery, and the ability to work closely with stakeholders to drive successful project outcomes.
- Lead the end-to-end delivery of Enterprise Reporting solutions.
- Collaborate with stakeholders to align program scope and schedule with business goals.
- Oversee gathering and analysis of requirements, data mapping, detailed design and specifications, build, test and deployment of reporting capabilities across multiple platforms.
- Ensure delivery of Enterprise Reports to meet strict scope and time constraints.
- Provide technical leadership and mentorship to analyst, engineering and report development teams.
- Provide expert advice contributing to design of data models, metadata management, and data integration strategies.
- Proven experience in leading enterprise scale data centric solutions with a strong focus on reporting.
- Expertise in SQL, Power BI or similar reporting tools etc.
- Strong understanding of data modelling, ETL/ELT processes, and data warehousing.
- Expertise in designing effective reports, analytics and dashboards.
- Experience with enterprise on premise and cloud security, networking, and identity management.
- Familiarity with DevOps practices and CI/CD pipelines for data solutions.
- Strong communication and stakeholder engagement skills.
- Australian Citizenship is mandatory due to project requirements.
- Baseline or NV1 Security clearance is highly desirable (or the ability to obtain one)
- We recognise the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance.
- At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
- Equip yourself with valuable certifications in the latest technologies such as AWS and Microsoft Azure.
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.