Endava
Information Technology And Services
SeniorDataArchitect
Neural analysis suggests this role is
optimal for mid candidates.
“Senior Data Architect at Endava. Skills: Data Architecture, Data Platforms, Analytics Solutions, AI Architectures. Lead architecture activities. Lead design activities”
Industry & Context.
Root cause analysis; Troubleshooting
Participation in video calls, Work onsite as necessary, Remaining stationary at desk, Working on computer, Bend, kneel, crouch, Reach overhead, Hand-eye coordination, Operate computers, Operate office equipment, Close vision, Toleration of fluorescent lighting, Adjusting focus, Lift 25 lbs, Valid driver's license, Acceptable driving record
What They're Looking For.
Must Have
8+ years experience, Design enterprise-scale data platforms, Snowflake architecture experience, Databricks experience, Experience with AWS, Azure, or Google Cloud, Deep understanding of data warehousing, Experience with ETL/ELT frameworks, Understanding of data governance, Experience leading technical teams, Excellent written skills, Excellent verbal skills, Excellent presentation skills, Communicate with technical audiences, Communicate with executive audiences
Nice to Have
Experience with AI architectures, Experience with machine learning architectures, Experience with generative AI architectures, Experience with data modernization, Experience with cloud migration, Knowledge of streaming architectures, Knowledge of real-time data platforms, Consulting experience, Professional services experience, Cloud certifications, Snowflake certifications, Databricks certifications, Architecture certifications
What You'll Do.
Lead architecture activities
Lead design activities
Define data platform architectures
Develop target-state architectures
Develop migration strategies
Develop modernization roadmaps
Conduct architecture assessments
Provide recommendations
Collaborate with engineering teams
Ensure implementation of designs
Establish architecture standards
Establish best practices
Establish reusable patterns
Design cloud-based data architectures
Implement cloud-based data architectures
Lead architecture efforts
Evaluate technologies
Recommend technologies
Facilitate architecture workshops
Facilitate discovery sessions
Facilitate strategy discussions
Translate business requirements
Present architectural recommendations
Present executive findings
Support sales pursuits
Participate in discovery meetings
Participate in capability discussions
Participate in architecture assessments
Contribute to estimates
Contribute to statements of work
Contribute to technical responses
Shape solution offerings
Shape reusable assets
Contribute to knowledge sharing
Contribute to architecture standards
Contribute to technical communities
Stay current on trends
How You'll Work.
Team & Collaboration
Technical teams; Client stakeholders; Business executives; Engineering teams
Communication Scope
Written skills; Verbal skills; Presentation skills; Client communication; Executive communication
Process & Methodology
Proposal development, Solution design
Full Job 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. Position Summary We are seeking a Senior Data Architect to join our North America Data & AI practice. This individual will play a key role in helping clients design and implement modern data platforms, analytics solutions, and AI-enabled architectures. The ideal candidate combines deep technical expertise with strong consulting and communication skills, enabling them to engage effectively with both technical and business stakeholders. This role will contribute across client delivery, solution architecture, pre-sales support, proposal development, assessments, and internal capability-building initiatives. The successful candidate will be comfortable operating in both strategic advisory and hands-on architecture capacities. Key Responsibilities Client Delivery & Solution Architecture * Lead architecture and design activities for data, analytics, and AI initiatives. * Define end-to-end data platform architectures, including ingestion, storage, transformation, governance, and consumption layers. * Develop target-state architectures, migration strategies, and modernization roadmaps. * Conduct architecture assessments and provide recommendations aligned to business objectives. * Collaborate with engineering teams to ensure successful implementation of architectural designs. * Establish architecture standards, best practices, and reusable patterns. Cloud Data Platforms * Design and implement modern cloud-based data architectures. * Lead architecture efforts involving Snowflake, Databricks, an
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