Data Architect

Endava

Senior Data Architect designing and implementing modern data platforms and AI architectures. Leading architectural discussions and collaborating with clients to drive data innovation.

Posted 6/5/2026full-timeRemote • Texas • 🇺🇸 United StatesSeniorLeadWebsite

Tech Stack

Tools & technologies

AWSAzureCloudETL

About the role

Key responsibilities & impact

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
Design and implement modern cloud-based data architectures
Lead architecture efforts involving Snowflake, Databricks, and major cloud platforms (AWS, Azure, and/or Google Cloud)
Architect solutions leveraging data lakes, lakehouses, data warehouses, streaming platforms, and AI/ML services
Serve as a trusted advisor to client stakeholders, including technical leaders, architects, and business executives
Facilitate architecture workshops, discovery sessions, and strategy discussions
Translate business requirements into actionable technical architectures and implementation plans
Present architectural recommendations and executive-level findings to client audiences
Support sales pursuits through solution design, proposal development, and client presentations
Mentor architects and engineers across the organization

Requirements

What you’ll need

12+ years of experience in data architecture, data engineering, analytics, or related disciplines
Proven experience designing enterprise-scale data platforms and analytics solutions
Strong expertise in Snowflake architecture, implementation, optimization, and best practices
Strong experience with Databricks, including Lakehouse architecture and modern data engineering patterns
Experience with at least one major cloud platform: AWS, Azure, or Google Cloud
Deep understanding of data warehousing, data lakes, dimensional modeling, and modern data architectures
Experience with ETL/ELT frameworks and data integration technologies
Strong understanding of data governance, security, metadata management, and data quality concepts
Experience leading technical teams and architecture initiatives
Excellent written, verbal, and presentation skills
Ability to communicate effectively with both technical and executive audiences.

Benefits

Comp & perks

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

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data architecturedata engineeringanalyticsSnowflakeDatabrickscloud-based data architecturesETLELTdata warehousingdata lakes

Soft Skills

leadershipcommunicationpresentation skillscollaborationmentoringstrategic thinkingproblem-solvingadvisory skillsfacilitationtranslating business requirements