Job Description
(OUTSIDE IR35)
Our client is a leading IT resourcing consulting and services provider, and their main motto is customer satisfaction and overall success of the business. You would be joining a team of professionals who are ardent in supporting, consulting and providing cost-effective solutions and services to clients across Globe.
Roles & Responsibilities
- Design, develop, optimize and oversee conceptual and logical data model, cloud native systems and flows across system estate
- Reporting into CEO/ CIO
- Architect key data entities and lead improvement processes end2end through evaluation of impact of changes to model, systems and flows to the overall data landscape
- Provide a logical data model with elements needed for the creation of data quality rules linked to business outcome
- Review current models, systems and practices for data management, suggest and lead on prioritised improvements in accordance with organisation objectives and KPIs
- Steer technological advancement and closely follow modern technology developments, e.g. columnar and NoSQL databases, predictive analytics, and unstructured data utilisation
- Focus on leading the design, development and management of a single source / DWH solution, incl. project plan, resources and roadmap
- Provide logical data model as a standard for the golden source and for consuming applications to inherit
- Fully own the management of all data sources, incl. data validation, maintenance of the golden source throughout its lifetime and establishing responsibilities of data management tasks; with authority to mobilise resources from other divisions as required
- Own data source catalogue / map
- Drive ML adoption, ML experimentation and ML Ops
Skill Required
- Advanced knowledge of enterprise DWH architecture
- Proven experience of defining and implementing data strategy and governance
- Extensive experience in data modelling and DWH design principles. Apply industry best practices to solve complex problems
- Proven experience implementing complex ETL and streaming processes from various data sources
- Experience with relational and NoSQL
- Understanding value levers and be able to translate KPIs to business activity
- Familiar with cloud data platforms (Snowflake, Amazon Web Services, Erwin) and ML services like Snowpark, AWS Sagemake.
Job Types: Full-time, Temporary contract
Contract length: 6 months
Benefits:
Schedule:
Ability to commute/relocate:
- London: reliably commute or plan to relocate before starting work (preferred)
Experience:
- Head of Data Architecture: 2 years (preferred)
- Data Architecture: 5 years (preferred)
- Leadership: 5 years (preferred)
- Cloud Data Platforms: 3 years (preferred)
Work Location: Hybrid remote in London