Data Modeller
Get recognition and reward working with this a pioneering industry leader, as they embark on a transformative journey! We are currently seeking a passionate Data Modeller for an exciting 12-month contract opportunity within their highly respected Technology team. This pivotal role demands a seasoned professional with robust expertise in crafting Conceptual, Logical, and Physical Data Models. Ideal candidates will showcase a proven track record in designing expansive data models tailored to diverse lines of business. Embrace the chance to innovate and drive forward-looking solutions using agile methodologies, microservices, and seamless integrations across multiple applications and services. This is your opportunity to make a profound impact in shaping the future of data architecture with a leader in the field.
Responsibilities;
- Develop and design project data models that meet organizational needs and is aligned to Enterprise information model using conceptual, logical, and physical data models
- Partner with platform architects, data scientists, and analytics professionals to establish a data modeling vision that will drive our success
- Expand the vision for modeling and continuously identify ways to enrich data
- Lead and manage data modeling efforts for a new Azure data and analytics platform
- Ensure consistency, understanding, ease of use, and performance of data by applying and enhancing best practices and standards for data modeling
- Work with data governance and quality teams to incorporate processes into models
- Lead workstreams with cross-functional agile teams that include data scientists, data engineers, analysts, and product managers
Ideally you will have;
- Relational, NoSQL and data lake technologies. Azure SQL, Azure Synapse, Delta Lake preferred
- Comprehensive logical and physical data modeling for analytics and applications
- Strong knowledge and experience with data engineering practices
- Modes of visual interaction and information consumption, including data discovery, guided analytics, static reporting, and embedded analytics
- Types of data analysis including, descriptive, diagnostic, predictive, and prescriptive analysis
- 3-5 years of hands-on experience with multiple data modeling techniques, including Data vault logical, dimensional, and physical data modeling
- 3-5 years of hands-on experience in data engineering roles, moving data from raw to curated to consumption layers.
- Data domain and modeling experience in credit, lending, or financial services preferred
- Experience in creating data platforms across multiple technologies, including Microsoft technologies
- Strong understanding of Microsoft BI Suite, Power BI and ETL/ELT technologies and its architecture.
Mane Consulting specialise in Data & Analytics. For more information on this role or others like this in the market apply below or contact Mark.cornwel-smith @mane.com.au