Data Architect

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

About The Position

Synectics is 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 the ability to help stakeholders make informed decisions. 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 the enterprise data architecture, platform standards, and modernization roadmap; advises executive stakeholders on architecture decisions and tradeoffs; and leads complex data migration strategy and execution. The role also designs scalable data pipelines, ETL/ELT workflows, integration frameworks, data models, databases, data stores, and APIs. It establishes data quality, governance, metadata, lineage, security, and continuity practices, and leads multidisciplinary teams in planning and delivering repeatable implementations. Candidates must be able to pass a federal background investigation before starting and maintain eligibility throughout the engagement. Applicants must be authorized to work in the United States without requiring new employer-sponsored H-1B visa sponsorship. The salary range is $202,000.00–$219,000.00.

Requirements

  • Bachelor's degree in data engineering, computer science, information systems, engineering, or a related field.
  • At least 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 establishing 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 a modernization roadmap.
  • 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 to 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.
  • Lead multidisciplinary teams, develop implementation plans and repeatable rollout approaches, and establish monitoring, recovery, and continuity procedures.
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