Sr. Data Architect

Blueprint; Camp Springs (MD); Hybrid; USD 165,900 - 200,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Flexible Spending Account

401(k) program

Competitive paid time off offerings

Parental leave

Opportunities for professional growth and development

Job summary

Blueprint in Camp Springs, Maryland, is seeking a Senior Data Architect to provide technical leadership and architectural guidance across enterprise data initiatives. You'll design scalable data solutions to support analytics and reporting while collaborating closely with engineering teams and business stakeholders. A minimum of 10 years in data architecture and a bachelor's degree in a related field are required.

The anticipated salary range is $165,900 to $200,000 annually based on experience and skills. This role follows a hybrid work model, requiring 1-2 days on-site in the DMV area.

Qualifications

• 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 governance and lifecycle best practices.

Responsibilities

• Design and maintain enterprise data architecture strategies.
• Lead data integration, transformation, and interoperability initiatives.
• Collaborate with engineering teams on implementation strategies.

Skills

Data architecture principles

Data modeling

ETL/ELT processes

Databricks environments

Stakeholder management

Education

Bachelor's degree in Computer Science or related field

10+ years of experience in data architecture

Tools

AWS

Databricks Lakehouse architecture

Job description

Senior Data Architect

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
• Experience supporting cross‑functional technical initiatives
• 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 supporting enterprise modernization initiatives
• Experience with architecture frameworks and documentation tools

Salary Range

For candidates based in Washington State, the anticipated salary range is $165,900 to $200,000 annually. Actual starting pay will be determined based on experience, skills, and internal equity.

Work Authorization

This position supports a government customer and is subject to specific eligibility requirements. Candidates must be either U.S. Citizens or Lawful Permanent Residents (Green Card holders). Candidates requiring visa sponsorship or temporary employment authorization are not eligible for this role.

Equal Opportunity Employer

Blueprint Technologies, LLC is an equal employment opportunity employer. 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.

Benefits

• Medical, dental, and vision coverage
• Flexible Spending Account
• 401(k) program
• Competitive paid time off offerings
• Parental leave
• Opportunities for professional growth and development

Location

This role requires candidates to be located in the DMV area. It follows a hybrid schedule with on‑site presence 1–2 days per week depending on team needs. Candidates should be comfortable collaborating in person while also working independently on remote days.