Data Analytics Solution Architect (AMK)

Role OverviewWe are looking for a senior Data Analytics Solution Architect to lead the design of secure, scalable enterprise data platforms across cloud, hybrid, and on-premise environments. This role will cover data architecture, cloud infrastructure, analytics platforms, governance, and security for large-scale government/defence-related projects, including GCC and MINDEF Commercial Cloud environments. Job Responsibilities:Design scalable and cost-effective data analytics solutions, including data pipelines, data warehouses, data lakes, data lakehouses, and reporting platforms.Work with business stakeholders to understand requirements and translate them into end-to-end technical architecture designs.Define data architecture across cloud-native, hybrid, and on-premise environments.Lead data integration strategies, including ETL/ELT pipelines, data governance, metadata management, and data quality controls.Ensure structured, semi-structured, and unstructured data sources are integrated into centralised analytics platforms.Design and govern enterprise architecture across public cloud, private cloud, hybrid, and on-premise environments.Provide architectural guidance on cloud-native services, containerisation, orchestration, and platform modernisation.Monitor and optimise performance, scalability, reliability, and cost efficiency of data and cloud platforms.Ensure compliance with government security policies, privacy regulations, and security standards.Work closely with data engineers, data scientists, business analysts, infrastructure teams, and IT operations.Lead architecture reviews and provide technical guidance to internal teams.Job Requirements:Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.Minimum 7 years of experience in data architecture, enterprise architecture, or related roles.Strong experience in data warehousing, data lakes, data lakehouses, ETL/ELT, and analytics platforms.Strong knowledge of data engineering, data governance, master data management, data quality, and business intelligence.Experience in data modelling, including conceptual, logical, physical, dimensional modelling, data vault, and domain-oriented models.Strong understanding of enterprise infrastructure architecture, including networking, storage, compute, and security.Hands-on experience with cloud platforms such as AWS, Azure, or GCP.Experience with GCC and MINDEF Commercial Cloud environments.Strong programming skills in SQL, Python, or similar languages.Experience with Docker, Kubernetes, CI/CD, and Infrastructure-as-Code tools such as Terraform or CloudFormation.Good understanding of data security architecture, encryption, key management, secrets management, and secure data access.Experience with data lineage, metadata management, cataloguing tools, and governance controls.Knowledge of streaming architecture, API-based data access, MLOps, and observability tools will be an advantage.Candidates must have prior CAT 1 / G50 security clearance and previous experience delivering MINDEF projects.