Data Architect

Synectics for Management Decisions•Reston, VA
•$202,000 - $219,000•Hybrid

About The Position

We are seeking a Data Architect to lead the design and development of a modern enterprise data architecture and platform. The role works closely with executives, business leaders, and technical teams to shape modernization strategy, guide data migration, and deliver reliable, secure data solutions. It combines technical expertise, team leadership, and stakeholder decision support. This is a hybrid position in the Washington, DC area, with onsite work as needed based on client and business requirements. The Data Architect defines enterprise data architecture, platform standards, and modernization roadmaps; advises executive stakeholders on architecture decisions and tradeoffs; and leads migration strategy and execution across complex systems and business processes. The role also designs scalable data pipelines, integration frameworks, data models, databases, data stores, and APIs, while establishing data quality, governance, metadata, lineage, security, retention, monitoring, recovery, and continuity practices. The position leads multidisciplinary teams and develops implementation plans and repeatable rollout approaches. Candidates must be able to pass a federal background investigation before starting work and maintain eligibility throughout the engagement. The company is not currently sponsoring new H-1B visa petitions; applicants must be authorized to work in the United States without requiring new employer-sponsored H-1B sponsorship at this time. The stated salary range is $202,000–$219,000.

Requirements

  • Bachelor’s degree in data engineering, computer science, information systems, engineering, or a related field.
  • Minimum 10 years of experience leading enterprise data modernization, migration, platform, or analytics programs, including responsibility for multidisciplinary teams.
  • Experience designing and implementing modern data platforms using Databricks and/or Snowflake.
  • Demonstrated experience leading data migration across complex systems and business processes.
  • Strong experience with data modeling, data pipelines, ETL/ELT, integration, and analytics solution development.
  • Experience supporting data governance, data quality, metadata management, lineage, provenance, or records management initiatives.
  • Ability to advise executives, facilitate difficult decisions, and align business and technical stakeholders.
  • Experience developing resource models, delivering roadmaps and implementation plans, and creating repeatable rollout approaches.
  • Experience working in Agile delivery environments.
  • Ability to work in a hybrid environment in the Washington, DC area.
  • Must be able to pass a federal background investigation before starting work and maintain eligibility throughout the engagement.
  • Must be authorized to work in the United States without requiring new employer-sponsored H-1B visa sponsorship at this time.

Nice To Haves

  • Certifications in AWS, Snowflake, Databricks, or related technologies.

Responsibilities

  • Define enterprise data architecture, platform standards, and modernization roadmaps.
  • Advise executive stakeholders on architecture decisions, priorities, resource needs, risks, and tradeoffs.
  • Lead data migration strategy and execution across complex source systems, dependencies, and business processes, including validation, reconciliation, and cutover planning.
  • Design and build scalable data pipelines, ETL/ELT workflows, and integration frameworks for batch and real-time processing.
  • Develop data models, schemas, databases, data stores, and APIs that support enterprise analytics and reliable data access.
  • Establish processes for data quality, entity resolution, metadata, lineage, provenance, source routing, and data sanitization.
  • Implement data governance, access controls, retention policies, and security measures to protect sensitive information and support compliance requirements.
  • Lead multidisciplinary teams, develop implementation plans and repeatable rollout approaches, and establish monitoring, recovery, and continuity procedures.
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