We are a technology solutions firm headquartered in Bellevue, Washington, with a strong presence across the United States. Unified by a shared passion for solving complicated problems, our people are our greatest asset. We use technology as a tool to bridge the gap between strategy and execution, powered by the knowledge, skills, and the expertise of our teams, who all have unique perspectives and years of experience across multiple industries. We’re bold, smart, agile, and fun. What does Blueprint do?
Blueprint helps organizations unlock value from existing assets by leveraging cutting-edge technology to create additional revenue streams and new lines of business. We connect strategy, business solutions, products, and services to transform and grow companies.
Why Blueprint?
At Blueprint, we believe in the power of possibility and are passionate about bringing it to life. Whether you join our bustling product division, our multifaceted services team or you want to grow your career in human resources, your ability to make an impact is amplified when you join one of our teams. You’ll focus on solving unique business problems while gaining hands-on experience with the world’s best technology. We believe in unique perspectives and build teams of people with diverse skillsets and backgrounds. At Blueprint, you’ll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions. We guarantee you won’t find a better place to work and thrive than at Blueprint. We are looking for a Senior Data Architect to join us as we build cutting-edge technology solutions! This is your opportunity to be part of a team that is committed to delivering best in class service to our customers. In this role, you will provide technical leadership and architectural guidance across enterprise data initiatives, helping design scalable and modern data solutions that support analytics, reporting, and business decision-making. You’ll work closely with engineering teams and business stakeholders to evaluate existing systems, define future-state architecture, and lead data transformation efforts across complex environments. This role combines strategic architecture planning with hands-on technical expertise to ensure data platforms are scalable, secure, maintainable, and optimized for long-term growth. You’ll play a key role in shaping enterprise data strategy and establishing best practices across data ecosystems. Responsibilities:
Design and maintain enterprise data architecture strategies and scalable data solutions
Lead architecture discussions with technical teams and business stakeholders
Evaluate existing systems and recommend modernization opportunities
Design logical and physical data models to support operational and analytical use cases
Lead data integration, transformation, and interoperability initiatives
Define standards and best practices for data management, governance, and architecture
Support enterprise data lake, warehouse, and reporting initiatives
Develop and maintain architecture documentation, diagrams, and technical standards
Ensure solutions align with security, scalability, and performance requirements
Collaborate with engineering teams on implementation and delivery strategies
Support data lifecycle management and long-term maintainability
Mentor technical teams and provide architecture guidance
Qualifications:
Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
10+ years of experience in data architecture, solution architecture, or enterprise data management
Experience designing and implementing enterprise-scale data solutions
Strong understanding of data architecture principles and design methodologies
Experience with data modeling, ETL/ELT processes, and data integration strategies
Experience with enterprise data platforms and analytics ecosystems
Knowledge of data governance and data lifecycle best practices
Strong communication and stakeholder management skills
Hands-on experience architecting and delivering solutions within Databricks environments
Demonstrated expertise with Databricks Lakehouse architecture, workflows, and enterprise-scale implementation strategies
Eligibility to meet federal contracting and client-specific work authorization requirements is required. Due to project requirements, candidates must be U.S. Citizens or U.S. Permanent Residents (Green Card holders). Preferred Qualifications:
Experience with AWS and cloud-native data architecture
Experience with data lakes, warehouses, and distributed data systems
Familiarity with advanced analytics or machine learning environments
Experience with architecture frameworks and documentation tools
Salary Range
At Blueprint, we strive to offer competitive pay that reflects the value of our team members. Compensation for this role is influenced by a variety of factors, including skills, education, responsibilities, experience, and geographic market. For candidates based in Washington State, the anticipated salary range is $165,900 to $200,000 annually. Please note that we typically do not hire new employees at the top of the posted range. Actual starting pay will be determined based on experience, skills, and internal equity. The final salary and job title may vary depending on the selected candidate’s qualifications and could fall outside the stated range. Qualified applicants are considered without regard to race, color, age, disability, sex, gender identity or expression, orientation, veteran/military status, religion, national origin, ancestry, marital, or familial status, genetic information, citizenship, or any other status protected by law.
