Cloud Data Architect

Endava

7h•Hybrid

About The Position

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.

Requirements

12+ years of experience designing and delivering enterprise-scale data platforms, with significant experience in data architecture roles
Proven experience defining and executing data cloud migration strategies, ideally across AWS and Azure
Demonstrated experience engaging with C-level executives and senior leadership, with the ability to influence strategy and drive alignment across business and technology stakeholders
Strong hands-on experience with Azure data services, Snowflake, and Databricks in production environments
Deep understanding of modern data architecture patterns, including:
Lakehouse and cloud data platforms
ETL / ELT design
Batch and streaming processing
Data governance and quality frameworks
Strong background in data modeling (3NF, dimensional modeling, Data Vault) and analytical data design
Proficiency in Python and SQL; ability to engage at a hands-on level when needed
Experience with orchestration frameworks (e.g., Airflow, Azure-native orchestration tools)
Solid understanding of security, identity, and access control in cloud data platforms.

Nice To Haves

Experience working in or with investment management, asset management, or financial services environments
Familiarity with financial and market data products such as Bloomberg (BBG), LSEG, MSCI, and FactSet is highly desirable
Strong stakeholder management and executive communication skills, with the ability to engage both technical and non-technical audiences, and clearly articulate complex architectural concepts, trade-offs, and recommendations to non-technical audiences
Experience operating in advisory or consultative roles, supporting strategic decision-making in complex, high-stakes environments

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

Benefits

Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus
Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership
Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences
Hybrid work and flexible working hours, employee assistance programme
Global internal wellbeing programme, access to wellbeing apps
Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations
Robust healthcare and benefits including Medical, Dental, vision, Disability coverage, and various other benefit options
Flexible Spending Accounts (Medical, Transit, and Dependent Care)
Employer Paid Life Insurance and AD&D Coverages
Health Savings account paired with our low-cost High Deductible Medical Plan
401(k) Safe Harbor Retirement plan with employer match with immediately vest