Technical Architect

HMRC has one of the UK's largest IT estates ranging from innovative data analytics platforms to complex legacy systems. We are undergoing a major transformation programme, which includes a major investment in digitisation. HMRC's IT Division, known as the Chief Digital Information Officer Group (CDIO), has many delivery groups addressing parts of our digital transformation agenda; this vacancy sits within Data Platform Services (DPS).

DPS was set up 8 years ago as a result of our desire to take control of building and running our critical data capabilities, doubling in size to 600 people in the last 18 months, and we are targeting further growth driven by increased demand for our services.

We are recruiting for a Technical Architect to work within our Reporting & Dashboarding team, and our Advanced Analytics team with each role acting as a subject matter expert on the products and related design patterns used within their specific areas.

Job description

• Understand and translate business needs into long-term solutions.
• Create solution designs, producing relevant documentation, ensuring they are aligned with departmental data and security standards and any broader project architecture.
• Apply data modelling techniques against a range of database technologies to establish, modify or maintain a data structure and its associated components.
• Produce data mapping documents, showing traceability across data environments.
• Mentoring of a Junior Technical Architect may be required.

Person specification

• Demonstrable experience of working successfully in either Data Analysis or Solution Design roles with specific focus on Data Engineering.
• Knowledge of a range of Data Products, in the areas of: data visualisation, or advanced analytics.
• Experience of successfully creating and implementing designs for data centric solutions.
• Broad understanding of cloud-hosted and cloud native services, with deep experience in data security.
• Experience of RDBMS and its schema definition. Plus hands-on experience in relational and multidimensional data modelling.
• Solid grasp of Big Data and NoSQL solutions in a data analytics technology landscape.
• Solid experience of data governance approaches.

Essential Criteria:

• Ability to work in an agile delivery and multi-supplier large organisation.
• Database Technologies (Oracle, DB2, MS SQL Server, AWS RDS and RedShift).
• Data exploitation tools, including some or all of the following: Pentaho Business Analytics, SAS Enterprise Guide / Enterprise Miner, SAS Visual Analytics, PowerBI, R Studio and R Shiny.
• Data quality tools such as SAS Data Management Studio.
• Data Fabric tools, including some or all of the following: Pentaho Data Integrator and Talent.
• Experience with AI and Cognitive services.
• Data transfer methodology including the likes of sFTP and FTPs, JDBC, Flume, Kafka.
• Different languages, data formats and APIs, SOAP / Restful services including JSON, XML.
• Security approaches and tools, e.g. encryption, tokenisation.

Desirable Criteria:

• Use of various collaboration tools including JIRA, Confluence etc.
• Experience using an Architecture Repository and adhering to its use and policy.
• Experience working on a Cloud environment such as AWS, Azure.
• Demonstrate the ability to communicate effectively and with impact to technical and non-technical audiences.
• Demonstrate the ability to work with minimal direction in a large often challenging environment to influence and drive change internally and with 3rd party suppliers.
• Be a team player, who coaches and mentors aspiring colleagues into motivated and delivery focused individuals.