Senior Data Architect for AI-Ready Cloud Data

Electrosoft

Arlington, Northern (VA, KY)

Hybrid

USD 170,000 - 190,000

Full time

5 hours ago
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Job summary

Electrosoft Services, LLC is seeking a Senior Data Architect to lead the design, governance, and modernization of enterprise data architectures. The role focuses on AI-enabled data management, analytics, and Data-as-a-Service across mission environments.

Collaboration with federal stakeholders and cross-functional teams is essential. The position emphasizes cloud-native data platforms, Databricks Lakehouse, and governance practices, with enterprise-wide impact and a strong emphasis on Zero Trust

Qualifications

  • Bachelor’s or Master’s degree in CS/IT or related discipline; 15 years of progressive experience may substitute for degree.
  • Minimum of 10+ years in enterprise data architecture, data engineering, or related areas.
  • Experience designing AI-ready data architectures and governed data models.
  • Hands-on experience with Databricks Delta Lake, Unity Catalog, and Lakehouse.
  • Experience with AWS services (S3, IAM, KMS, Lambda, Glue, API Gateway, Aurora, RDS).

Responsibilities

  • Lead enterprise data strategy, architecture, governance, and implementation activities for AI-enabled data management.
  • Design logical, physical data models to support analytics and DaaS capabilities.
  • Develop cloud-native data platforms and Databricks Lakehouse environments.
  • Define enterprise data architecture standards, patterns, and best practices.
  • Collaborate with engineers and stakeholders to align data solutions with mission requirements.

Skills

Leadership
Strategic planning
Communication
Agile

Education

Bachelor’s or Master’s degree in CS/IT
15 years experience substituted for degree

Tools

Databricks
AWS
Terraform
CloudFormation
AWS CDK

Job description

Electrosoft Services, LLC is seeking a Senior Data Architect to lead the design, governance, and modernization of enterprise data architectures. The role focuses on AI-enabled data management, analytics, and Data-as-a-Service across mission environments.

Collaboration with federal stakeholders and cross-functional teams is essential. The position emphasizes cloud-native data platforms, Databricks Lakehouse, and governance practices, with enterprise-wide impact and a strong emphasis on Zero Trust

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