Data Modeler

About Capgemini

Capgemini is a diverse collective of more than 330,000 strategic and technological experts based across more than 50 countries, partnering with world-renowned clients to transform and manage their businesses. We are dedicated to leveraging cloud, data, AI, connectivity, software, digital engineering, and platforms to address the entire breadth of their business needs. This passion drives a powerful commitment - to unlock the true value of technology.

Over the last 18 months, we have tripled our business in Australia and New Zealand, with over 3,300 team members devoted to helping clients get the future they want. _Now is the time to join our rapidly growing team who are at the forefront of finding new ways technology can help us reimagine what's possible, collecting unique career experiences with global brands and game-changing tech projects._

Let's talk about the team:
Our Insights and Data team helps our clients make better business decisions by transforming an ocean of data into streams of insight. Our clients are among Australia's top performing companies, and they choose to partner with Capgemini for a very good reason - our exceptional people. Due to continued growth within Capgemini's Insights & Data practice we intend to recruit a Data Modeler with relevant consulting and communication skills. If you are already working in a consultancy role, or have excellent client-facing skills gained within large organizations, we would like to discuss our consultant opportunities with you. This role can be positioned to work from Sydney or Melbourne.

Let's talk about the role and responsibilities:

- Be an expert member of a Team of data modelling professionals
- As a senior member of the group provide guidance to other data modellers
- Undertake data modelling and related activities associated with the role and the job type
- Support Enterprise data models - Normalised and Dimensional
- Develop and implement data modelling principles and processes
- Develop and implement data modelling principles and processes
- Develop and implement data asset governance processes, and ensure adherence to these standards
- Provide leadership to project and engineering teams on matters of modelling and data architecture
- Advisory to internal data governance and architecture forums
- Provide Consultancy and education to the enterprise in relation to data conformance and modelling

Let's talk about your capability and experience:

- Construct and review data models in accordance with standards
- Develop and embed good data modelling and data asset governance practices
- Working with others make decisions on data models and work with the head to refine, approve and present ideas and data models for larger enterprise approval
- Review, design, manage, uplift enterprise data models for strategic data platforms
- Provide effective governance of model development
- Work with a number of stakeholder groups including enterprise data and architects
- Work with data delivery and orchestration teams, analytics and insights teams, data provisioning platform and architecture teams
- Leadership teams include some senior stakeholders
- Banking Business SME's, data steward
- Ensure the correct levels of compliance of data models built to enterprise standards
- Turnaround of model design / governance requests
- Proactively manage risk meeting all policy and compliance requirements; perform controls, adhere to process and procedures pertinent to the role and escalate events, issues or breaches as they are identified to the relevant controls and escalation forums.

Responsibilities and Qualification:

- Logical and Physical data modelling in complex environments - spanning traditional data warehousing to the Cloud Data Platform
- Experience in different modelling methodologies including 3NF, Dimensional and Data Vault
- Results Driven, analytical and creative thinking
- Innovative problem solver
- Self-motivated and proactive
- Highly organised
- Has strong stakeholder relationship management
- Prior experience working in a agile squad environment with mínimal supervision

Other Capabilities:

- Highly desirable - Proficient and experienced with Erwin and IBM/FSLDM industry data model
- Highly desirable - Banking Domain background
- Strong SQL knowledge will be very useful

**Experience**:

- 7+ years of data modelling and or data architecture experience - proven credentials where the person played a leadership role in this expertise
- Sound knowledge of data modelling practices and processes
- Demonstrated record of building trusting relationships and business partnering and key internal stakeholders
- Experience in large enterprise and financial services firms
- Managed teams of greater than 6 people
- Education level - Degree in Computer Science or related field
- Understanding of Financial Services Industry could be highly advantageous.

Let's talk about what's in it for you
- We believe technology is about more than bu