US Pharmacopeia · 2 hours ago
Data Architect
Rockville, Maryland, United States
Full-time
Onsite
Senior Level, Lead/Staff
$113K/yr - $147K/yr
8+ years expThe U.S. Pharmacopeial Convention (USP) is an independent scientific organization focused on developing quality standards for health and science. The Data Architect will lead the end-to-end data architecture strategy, ensuring data accessibility, quality, security, and performance across the enterprise.
MedicalNon ProfitPharmaceuticalPublishing
Responsibilities
Lead the data design of solutions for large projects and programs; through expert knowledge translate high-level business requirements into data models and appropriate metadata, test data, and data quality standards
Lead and support IT initiatives in developing and management of the USP Data Lakehouse
Lead and support USP analytics team in designing and curating data from a Data Lake for business intelligence dashboards
Lead and support the architecting of USP’s cloud-enabled data platforms and services including data warehouse, systems of record and operational databases
Direct and manage USP’s enterprise data landscaping efforts
Work with senior business stakeholders to secure engagement for the solution and ensure that the delivery of the project aligns with longer-term strategic roadmaps
Simplify the existing data architecture, delivering reusable services and cost saving opportunities in line with the policies and standards
Lead collaborative team working with other areas within IT to ensure that all solutions are complete, operable, conform to business processes, and meet the business needs with the agreed quality of service
Provide clear, continuous, and consistent data architecture leadership at a detailed level within projects
Lead and participate in the peer review and quality assurance of project architectural artifacts across the Enterprise Architecture group through governance forums. Report key architecture decisions and implications to the governance forums
Expected to carry out core accountabilities with minimal level of supervision for complex tasks and no supervision for more routine matters
Develop conceptual, logical, and physical data models to support data analysis and business intelligence
Create and maintain current- and target-state data architectures
Define and manage standards, guidelines, and processes to ensure data quality
Ensure technology solutions are in alignment with data architecture principles and target state
Evaluate and recommend emerging technologies for data management, storage and analytics
Define and implement data governance frameworks, including data lineage, cataloging, and data quality monitoring
Ensure data compliance with security, privacy, and regulatory requirements (e.g., GDPR, HIPAA, etc.)
Collaborate with security teams to apply IAM roles, encryption, and access control policies
Qualification
Required
Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent combination of education and experience
Eight (8) years of experience working in Information Technology
Five (5) years of experience in data architecture, engineering, or cloud data solutions, including a minimum of two (2) years on AWS
Ability to relate architectural decisions and recommendations to business needs
Strong analytical thinking and problem-solving ability
Excellent communication skills and ability to explain complex technical concepts to non-technical stakeholders
Proactive, detail-oriented, and passionate about building scalable, reliable, and efficient data systems
Team player with a mindset of continuous learning and innovation
Proven experience designing and maintaining a data lakehouse or modern data platform architectures on AWS
Hands-on experience with: AWS S3 (data lake design, partitioning, lifecycle management), AWS Glue (ETL jobs, crawlers, Data Catalog, schema management), AWS Redshift (data warehousing, performance tuning, Redshift Spectrum), AWS Lambda and Step Functions (data processing orchestration), MWAA / Apache Airflow (workflow management), AWS Athena (ad hoc querying), AWS SageMaker (data preparation for ML pipelines)
Strong proficiency in SQL, Python, and data modeling (dimensional, data vault, etc.)
Experience with data governance, lineage, metadata management, and cataloging frameworks
Familiarity with CI/CD pipelines, infrastructure as code (e.g., CloudFormation or Terraform), and DevOps principles
Familiarity with data reporting/visualization tools (e.g., Power BI or Tableau)
Preferred
Experience managing the iteration, review and maintenance of data requirements and data models
Experience developing reference architecture, principles, and standards
Demonstrated ability to apply data architecture design patterns and principles, including: Domain-driven design and data mesh concepts, Event-driven and microservices-based data integration patterns, Modern data modeling and data pipeline orchestration best practices, Scalability, reliability, and performance optimization strategies
Derives an overall strategy of master data management, within an established information architecture, that supports the development and secure operation of information and digital services
Sets standards for data modelling and design tools and techniques, advises on their application, and ensures compliance
Develops organizational policies, standards, and guidelines for data management, aligned with ethical principles
Takes overall responsibility for planning effective data storage, security, quality, sharing, availability, retention, and publishing within the organization. Plans, establishes, and manages processes for regular and consistent access to, and independent validation of external information from multiple sources
Benefits
Company-paid time off
Comprehensive healthcare options
Retirement savings
Company
US Pharmacopeia
US Pharmacopeia (USP) is an independent, scientific nonprofit organization that has focused on building trust in the supply of safe, quality medicines since 1820.
1001-5000 employees
H1B Sponsorship
US Pharmacopeia has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)
2024 (2)
2021 (2)
2020 (2)
Funding
Current Stage
Late StageLeadership Team
Ronald Piervincenzi
Chief Executive Officer
Stan Burhans
SVP Operations and Chief Financial Officer
Recent News
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