Full-Time

Senior Data Architect

Posted on 11/20/2025

Deadline 11/19/26
Serco North America

Serco North America

No salary listed

Reston, VA, USA

In Person

Category
Data & Analytics (1)
Required Skills
Python
NoSQL
SQL
Apache Kafka
CloudFormation
AWS
Terraform
Requirements
  • Bachelor's degree in Computer Science, Information Systems, or related field
  • 12-15 years of related experience
  • Experience designing and implementing AWS cloud-based data architectures
  • Excellent communication and stakeholder engagement skills
  • Strong proficiency in SQL and cloud-native data services (e.g., AWS RedShift, AWS RDS, etc)
  • Experience with data pipeline tools and service orchestration frameworks, including familiarity with event-based processing and model context protocol
  • Familiarity with infrastructure-as-code (Terraform, CloudFormation), DevSecOps pipelines and tools and CI/CD practices
  • Background in data architectures supporting different data processing types such as: massively parallel processing (MPP) vs symmetric multiprocessing (SMP)
  • Ability to travel up to 10% of the time if needed
Responsibilities
  • Designing and implementing cloud-based data platforms using AWS-native technologies
  • Developing scalable data lake, data warehouse, and real-time streaming architectures
  • Architecting and optimizing relational and non-relational (NoSQL) databases
  • Identifying and integrating new technologies to replace or enhance legacy systems
  • Translating business requirements into robust and scalable data architectures
  • Working closely with system engineers, analysts, other solutions architects, business stakeholders, and program leadership
  • Providing architectural guidance and direction to technical teams, including operations, security and software development
  • Providing thought leadership
Desired Qualifications
  • Master’s degree in Computer Science, Information Systems, or related field
  • Certifications in AWS Cloud (e.g., AWS Certified Data Analytics, AWS Solution Architect, etc.)
  • Experience with data migration into the cloud and within the cloud
  • Experience with containerization (Docker, Kubernetes) and serverless architectures
  • Knowledge of data visualization tools (Power BI, Tableau, Looker)
  • Experience with agile methodologies, case management systems, decision technologies, and using tools like Jira and Confluence

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