Cloud Data Architect

Our Data discipline at Endava spans data engineering, analytics, architecture, modeling, machine learning, and AI. We partner with clients to design and deliver modern data platforms that enable scalable analytics, advanced research, and data-driven decision-making.

As a Data Architect, you will play a key role in defining and driving the target data architecture for a quantitative asset management client within a global investment manager. You will lead the migration of a complex data ecosystem from AWS to Azure, define architectural standards and patterns, and ensure the platform supports a wide range of investment management and research use cases.

This role combines strategic architecture leadership, hands-on technical depth, and strong stakeholder engagement across technology and investment domains.

Responsibilities

• Define and own the target data architecture and migration strategy for moving data infrastructure from AWS to Azure
• Design end-to-end cloud-native data architectures leveraging Azure services, Snowflake, Databricks, and modern ETL/ELT and orchestration frameworks
• Establish architectural principles, standards, and reference architectures covering:
  • Data ingestion, transformation, and orchestration
  • Analytical and research data platforms
  • Security, access control, and compliance
  • Scalability, performance, and cost optimization
• Lead architectural decision-making across batch and streaming data pipelines, supporting both operational and research workloads
• Partner closely with data engineers, analytics teams, and investment stakeholders to ensure architecture aligns with business and research needs
• Guide and review solution designs, ensuring adherence to architectural standards and best practices
• Define approaches for data modeling, metadata management, lineage, and data quality across the platform
• Support integration of financial and market data providers (e.g., Bloomberg, LSEG, MSCI, FactSet) into the target architecture
• Act as a trusted technical advisor to senior client stakeholders, translating complex technical concepts into clear architectural guidance
• Engage directly with C-level executives and senior leadership to shape data strategy, investment in platforms, and long-term architectural direction
• Lead executive-level architecture discussions and design reviews, presenting trade-offs, risks, costs, and benefits to support informed decision-making
• Translate business, investment, and research objectives into clear data architecture strategies, ensuring alignment between executive priorities and technical execution
• Serve as a senior architectural voice in governance forums, influencing platform roadmaps, cloud strategy, and data operating models
• Contribute to delivery planning, risk management, and governance within Agile and change programs
• Mentor engineers and architects, promoting architectural consistency and engineering excellence