EXPERIENCE
Essential skills and experience
- Experience of establishing common data models and suitable structures to enhance reporting
- Data Management skills including setting up frameworks describing the processes to plan, specify, enable, create, acquire, maintain, use, archive, retrieve, control and purge data
- Experience of Data Ontology (Data Catalog, Data Dictionary and Data Literacy)
- Experience of producing diagrams representing key data entities and their relationships
- Ability to define the processes to capture, transform and deliver usable data to Information users and most importantly identify the people who will consume the data and their unique requirements
- A solid foundation in systems development. Must understand the system development life cycle, project management approaches, and requirements, design, and test techniques
- Demonstrable experience of data modeling and design in a large complex organisation
- Experience and understanding of both established and emerging data technologies, including established data management and reporting technologies
- Expert knowledge of SQL databases alongside some knowledge of columnar and NoSQL databases, predictive analytics, data visualization, and unstructured data
- Excellent communication skills. Must be articulate, persuasive and have the ability to conceive and portray the bigger picture to others
- Experience of flowing data from source systems to business users and creating a series of interconnected data pipelines that serve various business needs using base data objects
- Experience of working with multiple types of business users, Collaborating and coordinating stakeholders, partners, and external vendors
- Experience or working knowledge of load operations and refresh rates (e.g. batch, mini-batch, stream), query operations (e.g., create, read, update, delete)
- Experience or working knowledge of deployments (e.g., on premises, public cloud, private cloud, hybrid)
- Experience of data processing engines (e.g., relational, OLAP, SQL, graphing, mapping, programmatic) and pipelines (e.g., data warehouse, data mart, OLAP cubes, visual discovery, real-time operational applications)
- The ability to profile and tag data as it’s ingested and map it to existing data sets and attributes—metadata injection—a key function of data catalogs
Nice-to-have skills and experience
- Experience of the governance process and defining the access points for different classes of business users: data consumers, data explorers, data analysts, and data scientists
- NHS experience desirable but not essential
- Certified Data Management Professional (CDMP)
- TOGAF 9 Certification Program
- Certified Data Architect - Big Data
