Lead Data Architect

Inadev•Reston, VA
•Hybrid

About The Position

Inadev is seeking a highly experienced Lead Data Architect to define and drive the data architecture for the SEC’s EDGAR program. The role leads the design and modernization of highly available, scalable, secure, and resilient data platforms using AWS cloud services and open-source database technologies. The Lead Data Architect establishes data architecture standards, guides database modernization and migration, and works with application architects, engineers, DevSecOps teams, cybersecurity personnel, and business stakeholders. The position defines and maintains the EDGAR enterprise data architecture and modernization roadmap; establishes patterns for relational, transactional, analytical, and distributed workloads; leads data modeling and database design; and sets strategies for performance, availability, recovery, security, and data lifecycle management. It also leads migration from legacy platforms to AWS-hosted open-source database technologies, supports performance engineering and reliability, and ensures architecture aligns with SEC security and federal compliance requirements. The Lead Data Architect provides technical leadership and mentoring, collaborates across application, cloud, integration, security, and DevSecOps teams, and develops architecture documentation, standards, reference patterns, and technical decision records. The role is full-time and follows a hybrid schedule of 3–4 days in Reston, Virginia, and client locations in the Washington, D.C. area as required. Salary is $205,000–$220,000, based on pertinent experience.

Requirements

  • Must be a U.S. citizen.
  • Must be willing to work a hybrid schedule of 3–4 days in Reston, VA, and client locations in the Washington, D.C. area as required.
  • Must be able to pass a 7-year background check and obtain and maintain a U.S. Government Clearance.
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical discipline.
  • 10+ years of experience in database engineering, data architecture, or related disciplines.
  • 5+ years in a senior or lead data architecture role supporting complex enterprise systems.
  • Deep expertise with PostgreSQL and open-source relational database technologies.
  • Strong experience designing database solutions in AWS.
  • Experience with Amazon Aurora PostgreSQL and Amazon RDS for PostgreSQL.
  • Strong knowledge of relational data modeling, normalization, indexing, partitioning, query optimization, and transaction processing.
  • Experience architecting highly available, resilient, and scalable database platforms.
  • Experience with database modernization and migration.
  • Strong understanding of database security, encryption, access control, backup, recovery, and auditing.
  • Experience supporting Agile and DevSecOps delivery environments.
  • Strong technical leadership, communication, and architecture documentation skills.
  • Strong communication and presentation skills; ability to prioritize and self-start.
  • Adaptability and flexibility as priorities shift; openness to collaboration, feedback, and client requests.
  • Enthusiasm and passion for learning and continuous improvement.

Nice To Haves

  • Experience migrating enterprise databases from commercial or legacy technologies to PostgreSQL/Aurora PostgreSQL.
  • Experience with AWS Database Migration Service (DMS), AWS Schema Conversion Tool (SCT), or comparable migration technologies.
  • Experience with AWS Glue, Amazon S3, CloudWatch, Secrets Manager, KMS, and related AWS services.
  • Familiarity with Infrastructure as Code and automated database deployment.
  • Experience with APIs, microservices, event-driven architectures, and distributed systems.
  • Knowledge of data governance, metadata management, lineage, and data-quality practices.
  • Familiarity with FISMA, NIST, and federal cybersecurity requirements.
  • Experience supporting large-scale financial, regulatory, or federal information systems.
  • AWS database, solutions architecture, or PostgreSQL-related certification.

Responsibilities

  • Define and maintain the EDGAR enterprise data architecture and modernization roadmap.
  • Establish architecture standards and patterns for relational, transactional, analytical, and distributed data workloads.
  • Lead logical and physical data modeling across EDGAR applications and services.
  • Define database design, partitioning, indexing, replication, availability, backup, recovery, and retention strategies.
  • Conduct architecture and design reviews and provide technical direction to engineering teams.
  • Establish standards for data quality, integrity, lineage, security, and lifecycle management.
  • Architect cloud-native database solutions using AWS and PostgreSQL/open-source technologies, including Amazon Aurora PostgreSQL, Amazon RDS for PostgreSQL, Amazon S3, AWS DMS, and AWS Glue.
  • Define patterns for highly available, fault-tolerant, scalable, and recoverable database environments.
  • Evaluate database workload requirements and recommend storage, replication, caching, and performance strategies.
  • Support infrastructure automation and repeatable deployment of database environments.
  • Lead database modernization from legacy platforms to AWS-hosted open-source database technologies.
  • Define migration, transformation, reconciliation, and validation approaches and strategies to minimize application disruption and migration risk.
  • Partner with application teams to identify and remediate database dependencies, incompatible features, stored procedures, schemas, and data-access patterns.
  • Establish performance baselines and validate migrated database workloads.
  • Establish database performance engineering and optimization practices and lead analysis of complex performance and scalability issues.
  • Define monitoring, observability, capacity, availability, backup, and disaster-recovery requirements.
  • Support architecture for mission-critical workloads requiring high reliability and data integrity.
  • Define database security architecture, including encryption, access controls, secrets management, auditing, and data protection.
  • Ensure data architecture aligns with SEC security and federal compliance requirements; collaborate with cybersecurity and DevSecOps teams on lifecycle security controls.
  • Provide technical leadership and mentoring to database engineers, developers, and data specialists.
  • Collaborate with application, cloud, integration, security, and DevSecOps architects to ensure cohesive end-to-end designs.
  • Develop architecture documentation, standards, reference patterns, and technical decision records.
  • Communicate complex data architecture decisions to technical and non-technical stakeholders.
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