Principal Architect (Data Architecture)
Charlotte, NC, United States
Endava
We combine world-class engineering with deep industry expertise and a people-centric mindset to drive meaningful change.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 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.
Responsibilities:
- 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
Qualifications
- 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
- Desired Qualifications
- 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
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 driver’s license, as necessary.
*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
- 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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Architecture AWS AWS Glue Azure Big Data Business Intelligence Consulting Data pipelines Data warehouse Driver’s license DynamoDB Engineering ETL Finance GraphQL Machine Learning MongoDB MS SQL NiFi Oracle Pipelines Power BI Predictive modeling Python RDBMS Redshift Scrum SQL SSIS
Perks/benefits: 401(k) matching Career development Competitive pay Conferences Equity / stock options Flex hours Flexible spending account Health care Insurance Salary bonus Team events
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