Principal Architect, Data Architecture

This is a fully remote position, open to applicants in United States.

📋 Description

• Engage and coordinate with both internal and external stakeholders to define project scope, system objectives, and requirements.

• Convert business requirements into technical specifications for data utilization and consumption.

• Provide guidance on suitable data platforms, repositories, and databases.

• Map data attributes across various domain models.

• Develop, assess, prioritize, and structure requirements, data mappings, diagrams, data models, and flowcharts for developers and testers.

• Implement and troubleshoot application data pipelines within legacy, modern, and cloud-based architectural frameworks.

• Collaborate with technical leads, developers, the client solutions team, and client stakeholders.

• Actively participate as a contributor in agile/scrum ceremonies.

• Present and discuss technical solutions with both technical and non-technical audiences.

• Review current codebases and processes and refactor them for enhancement.

⛳️ Requirements

• Typically possesses over 5 years of diverse technical experience in designing and developing data pipelines and data stores.

• Experience in designing data architectures for Business Intelligence and Analytical purposes.

• Understanding of data modeling and data mapping principles.

• Familiarity with Data Warehouse and Data Mart concepts.

• Proficient in TFS, Microsoft SQL Server, Microsoft SSIS, and Power BI.

• Extensive experience with SQL.

• Significant experience with both relational and non-relational database technologies such as Oracle, MS SQL Server, GraphQL, DynamoDB, MongoDB, PostgreSQL, Redis, and ElastiCache.

• Experience with ETL technologies like AWS Glue, Azure Data Factory, and Apache NiFi.

• Knowledge of various data systems and performance tuning strategies.

• Familiarity with architectural principles, including hub and spoke, bus, and event-driven software architectures.

• Working knowledge of Data Science technology stacks.

• Working knowledge of BI data analytical products.

• Exceptional verbal and written communication skills.

• Ability to present technical solutions to both technical and non-technical audiences.

• Capability to review and refactor existing codebases and processes.

• Strong problem-solving skills.

• Professional demeanor.

• Bachelor’s Degree or equivalent experience.

• Consulting experience is preferred.

• Familiarity with big data on cloud platforms is preferred.

• Experience with Python or PowerShell scripting is preferred.

🏝️ Benefits

• Comprehensive healthcare and benefits package, including Medical, Dental, Vision, Disability coverage, and various other options.

• Flexible Spending Accounts for Medical, Transit, and Dependent Care.

• Employer-paid Life Insurance and Accidental Death & Dismemberment Coverages.

• Health Savings Account offered with our low-cost High Deductible Medical Plan.

• 401(k) Safe Harbor Retirement plan with employer matching and immediate vesting.

• Reasonable accommodations available during the recruitment process upon request.