Cloud Data Architect
Endava
full-time
Posted on:
Location Type: Remote
Location: United States
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About the role
- 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
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
- 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
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data architecturecloud migration strategiesAzure data servicesSnowflakeDatabricksETLELTdata modelingPythonSQL
Soft Skills
stakeholder managementexecutive communicationinfluencing strategymentoringarchitectural consistencyengineering excellence