Find More Than 10K+
United Kingdom Jobs

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:

• Work from home

Schedule:

• Monday to Friday

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