Technical Architect

We are looking for a Senior Technical Architect with a strong background in data and software development to support a major UK Government programme. This role involves working closely with the programme delivery manager, technical specialists, external partners, and customer teams to support the discovery, design, delivery, and operation of a wide range of data solutions. This role is offered on an inside IR35 contract with a minimum of 1-2 days in either Telford or London.

Key Responsibilities:

• Analyze complex technical requirements and issues.
• Design solutions that maximize automation and reuse of existing components.
• Create technical specifications and documentation.
• Plan, estimate, and schedule tasks.
• Collaborate with customer teams to deliver and implement overall solutions.
• Manage solution design through required governance.
• Provide technical guidance to developers and data engineers.
• Assist in resolving complex operational issues.

Required Skills:

• In-depth knowledge and experience in designing, developing, and integrating secure solutions in public cloud environments (e.g., AWS or Microsoft Azure).
• Experience managing and deriving requirements and establishing and maintaining traceability between them and solution components.
• Solid writing skills, including creating High-Level and Low-Level Designs and interface control documents.
• Experience with standard engineering and service management methodologies.
• Experience with database technologies such as MySQL, Oracle, or Amazon Redshift.
• Experience with one of the following: Power BI, Pentaho Business Analytics, ElasticSearch, Solr, Apache Kafka.
• Experience mentoring and coaching junior colleagues.

Desired Skills:

• Ability to interact well with senior customer stakeholders and peer architects from other teams.
• Ability to translate technical discussions into business terms.
• Experience creating and sustaining high-level relationships with vendors, providers, and contractors.
• Experience with Python and its numerical, data, and machine learning libraries.
• Exposure to ETL tooling.
• Exposure to data science and analytical tooling such as SAS or Posit.
• Design and development of solutions in performance-critical environments.