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UBDS Group

Global Capability Centre for cloud, cybersecurity

Data Architect - AWS, Azure

Data EngineeringPosted on Nov 9
Full-timeLondon, UKHybrid

About the Job

Requirements

  • Strong experience as a Data Architect, Cloud Data Architect, or Senior Data Engineer with architectural responsibilities.
  • Hands-on experience designing and delivering data solutions across both AWS and Microsoft Azure.
  • Strong understanding of cloud data architecture, data integration, and distributed data processing.
  • Experience designing and implementing automated ETL/ELT pipelines.
  • Experience with Apache Spark or equivalent distributed data processing technologies.
  • Experience designing event-driven architectures and data processing workflows.
  • Strong understanding of data pipeline orchestration, performance optimization, and parallel processing.
  • Experience integrating cloud-based platforms with on-premises data sources.
  • Hands-on knowledge of AWS services such as EC2, EMR, S3, and Lambda.
  • Experience with Azure data storage and processing services, including Azure Blob Storage.
  • Good understanding of AWS and Azure networking, security, and connectivity.
  • Experience with Infrastructure as Code, particularly Terraform.
  • Experience using GitLab and implementing CI/CD pipelines.
  • Strong understanding of software engineering principles, automation, and DevOps practices.
  • Ability to translate business and technical requirements into scalable, secure, and maintainable data architectures.
  • Strong stakeholder engagement and communication skills.
  • Must hold current Security Check (SC) clearance before commencing the role and be able to maintain it for the duration of the assignment.

Responsibilities

  • Design and deliver scalable data architectures across AWS and Azure environments.
  • Define and implement automated data pipelines using cloud-native technologies and frameworks such as Apache Spark.
  • Design data integration solutions connecting cloud platforms with on-premises data sources.
  • Establish event-driven architectures to support efficient data processing, workflow orchestration, and near-real-time data availability.
  • Optimize data pipelines for performance, parallelization, reliability, and scalability.
  • Design data processing capabilities that support early identification of fraud risks and other analytical use cases.
  • Develop scalable approaches and tooling to enable self-service ETL and onboarding of new data assets.
  • Define data access, storage, integration, and processing patterns across multi-cloud environments.
  • Provide architectural guidance across AWS and Azure services, including EC2, EMR, S3, Lambda, and Azure Blob Storage.
  • Work with Cloud and Infrastructure teams to ensure appropriate networking, connectivity, security, and access controls.
  • Champion DevOps and software engineering best practices, including Infrastructure as Code, CI/CD, and automated deployments.
  • Support use of Terraform, GitLab, and automation tooling across data platform delivery.
  • Produce architecture documentation, technical designs, and implementation guidance.
  • Engage with technical and business stakeholders to translate complex data requirements into practical solutions.
  • Provide technical leadership and guidance to Data Engineers and wider delivery teams.

Desired Qualifications

  • Experience designing data platforms supporting fraud detection, risk assessment, or advanced analytics.
  • Experience with streaming technologies such as Kafka, AWS Kinesis, or Azure Event Hubs.
  • Experience with serverless and event-driven data processing architectures.
  • Experience with data lake, lakehouse, and modern data platform architectures.
  • Experience with self-service data ingestion and ETL frameworks.
  • Experience with Python, SQL, or other data engineering languages.
  • Experience with data governance, lineage, metadata management, and data quality.
  • Experience with large-scale or highly regulated data environments.
  • Experience delivering data solutions within Government, Defence, or wider public-sector organizations.

About the Company

UBDS Group

Global Capability Centre for cloud, cybersecurity

UBDS Group delivers end-to-end digital lifecycle services for public and private sector clients, focusing on cloud, cybersecurity, data, and AI, with a Global Capability Centre in Bengaluru that supports global operations. Its offerings include UBDS Digital, Rayo for AWS services, and 3B Data Security, delivered through long-term partnerships with Microsoft, AWS, Zscaler, and Cloudflare, backed by a multinational delivery team. It differentiates itself with a GCC-based model, a multi-brand portfolio, enterprise-scale partnerships, and a certified B Corp commitment to social and environmental goals like Net Zero by 2027. Its goal is to be a trusted, long-term partner for digital transformation, delivering sustained value and responsible growth while expanding its global delivery footprint.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Bengaluru, India
Founded
2025

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