Meet and coordinate with internal and external stakeholders to establish project scope, system goals, and requirements
Help translate business requirements into technical specifications for data consumption and use
Provide guidance on appropriate data platform(s) (repository, database, etc.) to meet requirements
Accurately map data attributes between different domain models
Develop, analyze, prioritize, and organize requirement specifications, data mapping, diagrams, data models and flowcharts for developers and testers to follow
Help deploy and troubleshoot application data pipelines across various architectural environments that will vary by client from legacy to modern including application servers, queues, API gateways, databases, etc. or cloud-based equivalents
Requirements
Typically has 5+ years of experience with varied technical experience in designing/developing data pipelines and data stores
Demonstrated experience designing data architecture(s) for Business Intelligence/Analytical usage
Understanding of data modeling and data mapping
Experience with Data Warehouse and Data Mart
Experience with TFS, Microsoft SQL Server, Microsoft SSIS, Power BI
Extensive experience with SQL
Extensive experience with relational and non-relational database technologies (Oracle, MS SQL Server, GraphQL, DynamoDB, MongoDB, PostgresSQL, Redis, ElastiCache, etc).
Experience in ETL (AWS Glue, Azure DataFactory, Apache NiFi, etc)
Experience with a variety of data systems and performance tuning approaches
Knowledge of a variety of architectural principles like hub and spoke, bus, event driven software architectures, etc.
Working knowledge of Data Science technology stacks
Working knowledge of BI data analytical products
Excellent verbal and written communication skills
Ability to present technical solutions to both technical and non-technical audiences.
Strong ability to review existing codebases/processes and refactor for improvement vs starting over
Strong problem solver
Professional presence
Bachelor's Degree or equivalent experience
Consulting experience
Working knowledge of Big data on cloud platforms (Azure Data Factory, Azure SQL, AWS, RDS Oracle, or RedShift)
Python or Powershell scripting experience
Success Profile
The ideal candidate is:
A strong communicator who can confidently engage clients and lead architectural discussions.
Comfortable operating in ambiguous environments and helping shape solutions from early discovery through delivery.
Equally effective in strategic advisory conversations and detailed technical architecture work.
Passionate about modern data platforms, AI, and emerging technologies.
Able to balance technical depth with business outcomes and client value.
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 driver's 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
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Benefits
Health insuranceDental insuranceVision insuranceFlexible schedule
Additional Information
Our data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling.
In this role, you will work closely with technical leads, fellow developers, our client solutions team, and client stakeholders. You will be part of agile/scrum ceremonies and will work as a contributor within these ceremonies.
Our data architects are strong consultants, who are just as comfortable talking through solutions with clients as they are at coding. As a Data Architect you must value collaboration and working cross functionally to make the greatest impact for our clients and fellow team members.
Endava · Remote