**Function:** Engineering**Duration:** Permanent**Hours**: Full Time (37 hours per week)**Location(s):** Warminster* Design our scalable, secure and cost-effective cloud hybrid data solution aligned with Omnia enterprise architecture and Army training objectives.* Design innovative data models and metadata systems to interpret and enhance business needs, promoting data as a strategic asset.* Develop transitional data architectures and road maps in alignment with Omnia digital transformation objectives, enabling the evolution of integrated training solutions.* Collaborate with cross-functional teams and partners to ensure data architectural integrity and alignment.* Translate complex technical concepts for a non-technical audience, fostering understanding and buy-in from stakeholders.* Support horizon scanning to identify and assess emerging technologies and determine their potential impact on leveraging data analytics to improve training delivery.* Membership and contribution to the Omnia Architecture Board(s) to review, define, refine and uphold data architectural principles, policies, and standards across Omnia Training.* Work with engineering teams to support and guide the implementation of a variety of solutions across multiple domains, in an agile environment.* Manage and lead prototyping and research activity as required to realise the best solutions.* Provide oversight and advice to engineers undertaking the design of data models and support the management of data dictionaries.* Ensure the security and compliance of data environments through the implementation of appropriate architecture principles, security controls and governance frameworks.* Author, review and contribute to technical documentation.* Produce High- and low-level design artifacts for data storage, processing, and retrieval systems.* Stay current with data technologies, making recommendations for use based on business value. Drive the adoption of these technologies.* Serve as the Subject Matter Expert (SME) for the Omnia Data Lakehouse, providing strategic guidance, technical oversight, and deep expertise in its architecture, implementation, and optimisation.* Proven experience designing and implementing scalable, secure, and interoperable data architectures in complex environments with cloud platforms (AWS, Azure, GCP, OCI) and cloud-native data services including use of services like S3, Lambda, Glue, Data Factory, etc.* Experience designing and supporting implementation of large-scale data pipelines, data warehousing and Lakehouse technologies.* Strong skills in conceptual, logical, and physical data modelling using tools like ER/Studio, ERwin, or Sparx EA (preferred). Experience reverse engineering models from existing databases.* Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop).* Experience with API management and gateway tools and services.* Experience of RESTful APIs for ingesting and exposing data.* Proven track record with data governance, quality, lineage, and security practices.* Experience with real-time/streaming data technologies, data Ingestion / ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub).* Experience in, or knowledge of, DevSecOps Tooling and Processes.* Self-starter with the ability to appropriately prioritise and plan complex work in a rapidly changing environment.* Strong critical thinker with problem solving aptitude.* A working knowledge of MoD or Government IT Security environments and requirements at various classifications.* Holder of current SC clearance, or the ability to gain it.* Hands-on experience with containerisation and orchestration (Docker, Kubernetes, Red Hat OpenShift).* Exposure to infrastructure-as-code tools (Terraform, CloudFormation).* Experience with BI/visualisation tools (e.g., Tableau, Power BI, Looker, Elastic Stack).* Knowledge of compliance frameworks (GDPR, HIPAA, CCPA) and their impact on data systems.* Relevant Data and Architecture certification such as TOGAF, MODAF, AWS/Azure Certified Data Architect or Solutions Architect, DAMA Certified Data Management Professional (CDMP* Competitive salaries.* 25 days holiday + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr)* Contributory Pension Scheme (up to 10.5% company contribution)* Company bonus scheme (discretionary).* 6 times salary ‘Life Assurance’ with pension.* Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others.* Enhanced sick pay.* Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave* 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements.* Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role.* A grownup flexible working culture that is output, not time spent at desk, focussed. More formal flexible working arrangements can also be requested and assessed subject to the role. Please enquire or highlight any request to our Talent Acquisition team to explore the flexible working possibilities.
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