Senior Data Architect

🕒 July 1

⚔️ Virginia – Remote

⚔️ Virginia – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Aptive Resources

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2012

🏛️ Government

Healthcare • Government • Consulting

Aptive Resources is a management consulting firm based in Alexandria, Virginia, specializing in providing innovative solutions to federal government agencies, particularly in veteran and civilian health sectors. With a strong focus on performance optimization, human capital, and data analytics, Aptive aims to improve the quality and accessibility of health care services for veterans and the general public. The company utilizes technology and human-centered services to bridge divides and enhance public service delivery for multiple agencies, including Veterans Affairs, Defense, and others.

📋 Description

• Design and maintain enterprise data architecture to support EHRM reporting platforms, data integration pipelines, and analytical tools. • Develop and maintain logical and physical data models, ensuring scalability, consistency, and alignment with VHA standards. • Define and enforce data governance practices including metadata management, data lineage, and master data management strategies. • Collaborate with data scientists, developers, and analysts to ensure consistent data availability, quality, and structure for analytics and decision-making. • Establish and lead data integration frameworks, including APIs, ETL processes, and interoperability standards across multiple systems (e.g., clinical, operational, performance). • Partner with technical and functional stakeholders to translate business requirements into sound data design strategies. • Define and oversee data quality and integrity frameworks, including data validation rules and automated checks across the data lifecycle. • Participate in sprint planning, backlog grooming, and Agile ceremonies to prioritize and deliver architectural enhancements. • Evaluate and recommend new technologies, platforms, or methods that enhance data architecture and overall performance.

🎯 Requirements

• Bachelor's or master's degree in computer science, Data Engineering, Information Systems, or a related technical field. • 10+ years of relevant experience in data architecture, data engineering, or enterprise data systems. • Proven experience with data modeling, enterprise data warehousing, and cloud-based data infrastructure (e.g., Azure, AWS, GCP). • Deep knowledge of data governance, metadata management, and data lineage frameworks. • Proficiency in database technologies (e.g., SQL Server, PostgreSQL, Oracle) and modern data platforms. • Demonstrated experience designing data architecture with compute performance in mind, including the ability to manage and optimize compute resources and operationalize scalable data processing solutions. • Experience in designing or supporting business intelligence environments. • Ability to convey complex technical solutions to diverse stakeholders, including executive and non-technical audiences. • Advanced proficiency with Microsoft Office tools and collaboration platforms. • Experience in fast-paced environments requiring high attention to detail. • Ability to obtain and maintain public trust clearance.

🏖️ Benefits

• Professional development opportunities • Consulting experience