The Department for Work and Pensions (DWP) is responsible for welfare, pensions, and child maintenance policy. As the UK s biggest public service department, it administers the State Pension and a range of working age, disability and ill health benefits to around 20 million claimants and customers. As such, we operate on a scale that is almost unmatched anywhere in Europe and most people in Britain come into contact with us at some point in their lives.

Working with DWP, you will be helping us to drive our priorities to:

• Run an effective welfare system that enables people to achieve financial independence by providing assistance and guidance into employment
• Increase saving for, and security in later life
• Create a fair and affordable welfare system which improves the life chances of children
• Deliver outstanding services to our customers and claimants
• Deliver efficiently: transform the way we deliver our services to reduce costs and increase productivity

Description:

• Lead the definition of data architecture best practice and operate against it such that the principles, patterns, and standards are embodied within product and service deliveries to ensure that the data strategy is realised. Ensuring that our requirements for data acquisition, processing and eventual disposal support and are justified by desired business outcomes.
• Designing the logical storage schema and interface resource definitions (and contracts) in solution designs in both the operational and analytical landscapes.
• Ensuring data discoverability, availability, integrity, and regulatory compliance in solution designs.
• Ensuring a rich metadata landscape such that our data assets are well described with transparent quality and lineage.
• Data architecture considerations of initiatives such as distributed data storage, data integration, service migration and external data exchange.

Data Architects participate in:

• Product delivery project teams (both operational and analytical).
• Development of the Architecture Practice and community.
• Solution design advisory and governance forums.
• Data-centric technology choices.

Work closely with:

• Other Government Departments to inform a cross-government data strategy.
• Office of the Chief Data Officer to ensure Data Architecture Aligns to Departmental Data Strategy, Policies and Legal and Regulatory Obligations.
• Data Domain Architects to define data architecture patterns, principles and standards, provide data oriented governance and select data-centric technology choices
• Solution and Integration Architects to ensure data aspects of solutions such as storage schema and API and Event resource definitions align to the Data Reference Architecture.
• Data Scientists and Data Engineers to realise analytical outcomes from our data assets.

Responsibilities:

• Lead on a particular aspect of improvement to the data architecture or a particular business initiative requiring complex design and decision making such as service transition support. Work closely with technical architects and business stakeholders to architect solutions in the data domain based on user, technical, security and regulatory requirements.
• Create ideas within feasibility stages, considering and identifying risks, identifying viable solution options offering value for money delivery.
• Shape propositions and suggests viable solution options.
• Resolve complex technical design conflicts through stakeholder engagement and negotiation, presenting recommendations to senior stakeholders and governance forums.
• Own technical design documentation, Design standards, Metadata and Data Quality and adherence and compliance across the team.
• Ensure that designs are fit for purpose (with emphasis on performance, volumetrics and costs), clearly understood and meet the strategic direction of Technology.

Skills/Knowledge

• Data Architecture concepts. Conceptual, Logical and Physical designs. Open-Source data. Relational Databases and Data Warehousing. Cloud-based data deployment. Big Data Concepts
• Information and data architecture, frameworks, technologies, tools, and best practice
• Relational, noSQL and open-source database design/modelling, technologies, design patterns, tools, and best practice.
• Data protocols, Informatica Axon, Informatica Enterprise Data Catalogue, Clearswift, Collibra, Data handling, Data security, Data privacy, Data regulatory frameworks, Data protection legislation, Information Governance, IBM Infosphere, SAS Data Governance, Reltio, SAP Master Data Governance.
• Class Diagram, Entity Relationships, Data Dictionary, Data Modelling principles, Sqoop, Erwin, IBM InfoSphere Data Architect, Microsoft SQL Designer, Open Api (Swagger), AVRO, JSON, Parquet. Postgres, SQL tuning, Kernel tuning, explain plans, Patching and upgrade, Meet Recovery Point Objectives, Meet Recovery Time Objectives, L2/L3 Database Build, Partitions.
• Data Platform - Design and Build, Oracle data platforms, Data Analytics, DB2 Database Management System, MongoDb Application Database, SAS Data, Informatica Data Management, Application Hosting Demand management and forecasting, Data Centre Security (including security products and countermeasure techniques e.g.. Firewalls, Server hardening), Operating systems (including Microsoft Windows and Redhat Linux), Sizing and Scaling Data Platforms based on Applications (Functional and Non-Functional Requirements), Firewalls, Server Hardening, Encryption and Authentication Techniques, Data Platform Operations, Oracle, IDMSX, DB2, Ingress, Sizing and Scaling Data Platforms to meet demand, Security Products and Countermeasure Techniques, Influencing Design and Engineering Decisions Around Data Platforms, Knowledge of Operation Techniques to Support Data at Protective Marking Levels.
• Working at a senior level in an Enterprise Data Warehouse team in a large complex organisation, such as a bank or financial services.
• Proven work experience in data architecture and data modelling including reverse engineering models from data.
• Expert level knowledge of industry best practices for database development and administration of relational and multi-dimensional database design.
• Good understanding and experience of delivering under multiple methodologies (e.g. agile, waterfall, fail fast).

If this role sounds like something that you would be interested in, please click the link to apply or get in touch with hannah.kenna@publicsectorresourcing.co.uk

Disability confident

As a member of the disability confident scheme, DWP guarantees to interview all candidates who have a disability and who meet all the essential criteria for the vacancy. In cases where we have a high volume of candidates who have a disability who meet all the essential criteria, we will interview the best candidates from within that group.

If you qualify for the above, please notify us on PSRapplications@publicsectorresourcing.co.uk.

We will be in touch to discuss your suitability and arrange your Guaranteed Interview.

Should you require reasonable adjustments at any point during the recruitment process or if there is a more accessible way for us to communicate, please do let me know.

In applying for this role, you acknowledge the following, this role falls in scope of the Off Payroll Working in the Public Sector legislation. Any rates of payment quoted will reflect the gross rate per day for the assignment and will be subject to appropriate taxes and statutory costs. As such the payment to the intermediary and your income resulting from this contract will be different.

Please be aware that this role can only be worked within the UK and not Overseas.