SC Cleared Data Solution Architect
Job Title - Solution Architect
SC - must be currently SC cleared
Duration - 1 year
Location - Fully remote, occasional travel for workshops
Inside IR35
Responsible for designing Data Related Solutions quickly and securely, whilst ensuring alignments to DWP's Digital Blueprint Principles, Standards and Patterns.
Reporting into a Lead Technical Architect
Essential Criteria
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 community
Share best practice and reference architectures.
Contribute to building an inclusive digital culture in DWP.
Support development of the Architecture Practice.
Coach and mentor other architects.
Support recruitment activity for the Architecture Practice.
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.
Data Engineer Skillset:
- Strong knowledge of ETL pipelines (eg, Informatica/Azure/AWS)
- AWS Cloud experience
- Expertise in data pipelines in the cloud (eg, EMR, PySpark)
- Data processing experience
- Proficiency in PySpark/Python/SQL