Principal Architect (Data Architecture)

Unclassified - Charlotte, NC

Full-time - Senior

Charlotte, NC

About the position

The Principal Architect (Data Architecture) role is a senior position within the data team, responsible for designing and developing data architectures that transform raw data into actionable insights. This position requires collaboration with various stakeholders to establish project goals and translate business requirements into technical specifications. The role emphasizes strong consulting skills, technical expertise in data systems, and the ability to communicate effectively with both technical and non-technical audiences.

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) 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.

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

Nice-to-haves

• 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

Benefits

• Competitive salary package
• Share plan
• Company performance bonuses
• Value-based recognition awards
• Referral bonus
• Career coaching
• Global career opportunities
• Non-linear career paths
• Internal development programmes for management and technical leadership
• Complex projects
• Rotations
• Internal tech communities
• Training and certifications
• Coaching
• Online learning platforms subscriptions
• Workshops and conferences
• Hybrid work and flexible working hours
• Employee assistance programme
• Global internal wellbeing programme
• Access to wellbeing apps
• Inclusion and diversity programmes
• Events and celebrations
• Robust healthcare and benefits including Medical, Dental, vision, Disability coverage
• 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