Data Solution Architect - SC Cleared

Posted 4 hours 46 minutes ago by Initialize IT

Contract
Not Specified
Other
Not Specified, United Kingdom
Job Description

Data Solution Architect - SC Cleared - mostly remote - £477 per day

Role

Responsible for designing Data Related Solutions quickly and securely, whilst ensuring alignments to Digital Blueprint Principles, Standards and Patterns.

1) Design and represent architecture solutions

Lead, deliver and support the technical and architecture design for a product.

Working collaboratively with engineers, to create VFM solution designs that meet user needs, typically in multi-disciplinary agile teams.

Create solution options and recommendations during project discovery and inception phases, to drive decision making on best solution design.

Contribute to the update of Digital Blueprint technology choices.

Create high-level solution architecture documentation and architecture design artefacts for governance, including all relevant SME input.

2) Ensure compliance of design with approved design in the Digital Blueprint

Ensure technical quality and adherence of Product designs to the Digital Blueprint, Enterprise Architecture and Product Roadmaps.

Engage with Enterprise and Lead Technical Architects and engineers to implement solutions according to agreed and approved designs.

Advocate and support delivery of solutions that reduce architecture complexity and reduce technical debt.

3) Maintain Product roadmaps and help maintain the Digital Blueprint

Be accountable for product architecture, contribute to product roadmaps, in alignment with engineering.

Identify, capture, iterate and implement architecture patterns.

4) Contribute to, and build capability in, the Architecture

Contribute to building an inclusive digital culture.

Support development of the Architecture Practice.

Coach and mentor other architects.

5.) Data Integration: - Knowledge of integrating data from disparate sources (ERP systems, CRM systems, IoT devices, etc.), Real Time data pipelines, and batch processing.

6.) Analytics & Reporting: Data warehousing, Data Lakes, Business Intelligence (BI) and analytics technologies, design patterns, tools and best practice.