Endava Cloud Data Architect \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Cloud Data Architect Full-time Company Description Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. Job Description 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 withC-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 Qualifications 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, 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 Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; Health: Global internal wellbeing programme, access to wellbeing apps; Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. Additional Employee Requirements Participation in both internal meetings and external meetings via video calls, as necessary. Ability to go into corporate or client offices to work onsite, as necessary. Prolonged periods of remaining stationary at a desk and working on a computer, as necessary. Ability to bend, kneel, crouch, and reach overhead, as necessary. Hand-eye coordination necessary to operate computers and various pieces of office equipment, as necessary. Vision abilities including close vision, toleration of fluorescent lighting, and adjusting focus, as necessary. For positions that require business travel and/or event attendance, ability to lift 25 lbs, as necessary. For positions that require business travel and/or event attendance, a valid drivers license and acceptable driving record are required, as driving is an essential job function. \\*If requested, reasonable accommodations will be made to enable employees requiring accommodations to perform the essential functions of their jobs, absent undue hardship. USA Benefits (Full time roles only, does not apply to contractor positions) 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 At Endava, were committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectivesbecause we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know. I'm interested I'm interestedCookies Settings I'm interested Refer a friend share this job Share on LinkedIn Share on Facebook Share on Twitter Share via email Share on Xing Share on WeChat Other jobs at Endava Senior DevOps Consultant Bengaluru, India Dava.X Academy Trainee Cluj-Napoca, Romania Dava.X Academy Trainee Timioara, Romania Show all jobs Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. Cloud Data Architect Remote, United States Full-time I'm interested I'm interested

The role requires over 12 years of experience in designing and delivering enterprise-scale data platforms, with significant time spent in data architecture roles. Proven experience in defining and executing data cloud migration strategies, particularly between AWS and Azure, is necessary. The candidate must demonstrate experience engaging with C-level executives and senior leadership to influence strategy and drive alignment. Strong hands-on experience with Azure data services, Snowflake, and Databricks in production environments is essential. A deep understanding of modern data architecture patterns, including Lakehouse and cloud data platforms, ETL/ELT design, batch and streaming processing, and data governance and quality frameworks, is required. A strong background in data modeling (3NF, dimensional modeling, Data Vault) and analytical data design is also a key qualification. Proficiency in Python and SQL is needed, with the ability to engage at a hands-on level. Experience with orchestration frameworks like Airflow or Azure-native tools is expected, along with a solid understanding of cloud data platform security, identity, and access control. Experience within investment management, asset management, or financial services environments is beneficial.