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Leidos

Builds technology for defense and civil agencies

Data Warehouse Architect

Data EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Significant experience in data warehousing, data architecture, database design, or data engineering within complex enterprise environments.
  • Experience designing conceptual, logical, physical, and dimensional data models, including star schemas, fact tables, and dimension tables.
  • Advanced Structured Query Language capability and experience working with relational database technologies and large-scale data environments.
  • Experience designing and overseeing extract, transform, load and extract, load, transform pipelines using technologies such as Azure Data Factory, AWS Glue, Informatica, dbt, SSIS, or similar platforms.
  • Knowledge of modern cloud data platforms such as Snowflake, Databricks, Microsoft Fabric, Amazon Redshift, Google BigQuery, or Azure Synapse.
  • Experience with data governance, metadata management, lineage, security, privacy, and data quality frameworks.
  • Ability to optimise data platform performance, scalability, storage, and workload management while maintaining operational reliability.
  • Experience working collaboratively with stakeholders across business and technology teams and providing technical leadership, mentoring, and architectural guidance.
  • Well-developed communication skills with the ability to explain complex technical concepts to a range of audiences.
  • The successful applicant must be eligible to obtain and maintain an NV1 Security Clearance.

Responsibilities

  • Lead the design and evolution of enterprise data warehouse, lakehouse, and analytics architectures across cloud, on-premises, and SaaS environments, ensuring solutions support current and future business needs.
  • Define and implement data models, architecture standards, integration patterns, and governance frameworks that improve data quality, consistency, accessibility, and usability across the organisation.
  • Provide technical leadership across extract, transform, load and extract, load, transform development, data integration, platform modernisation, and cloud transformation initiatives, guiding teams through complex architectural and delivery challenges.
  • Partner with engineers, analysts, architects, and business stakeholders to deliver high-performing, secure, and maintainable data solutions that support reporting, analytics, business intelligence, and operational decision-making.

Desired Qualifications

  • Experience with cloud-native data architectures, data lakes, lakehouses, and modern analytics platforms.
  • Knowledge of Databricks, Delta Lake, Spark, Kafka, or other modern data processing and streaming technologies.
  • Experience with dbt and contemporary data transformation practices.
  • Familiarity with Data Vault, Kimball, data mesh, or other enterprise data modelling and architecture approaches.
  • Experience implementing continuous integration and continuous delivery practices and Infrastructure as Code within data platforms.
  • Exposure to data cataloguing, governance, or metadata management tools.
  • Relevant qualifications or certifications in cloud architecture, data engineering, database technologies, or enterprise architecture.

About the Company

Leidos

Builds technology for defense and civil agencies

Leidos develops technology and runs services for defense, intelligence and civilian agencies, as well as healthcare and commercial customers. It combines software and engineering work with systems integration, building secure networks and equipment used in demanding operations. Its portfolio includes medical services, energy infrastructure design and technology that supports military missions, linking specialist businesses under one parent. Customers pay through contracts for delivered systems and services, with payment tied to labor, costs or agreed project milestones. Leidos traces its roots to a company founded in 1969 and is headquartered in Reston, Virginia.

Company size
10,001+
Company stage
IPO
Headquarters
Reston, VA
Founded
1969

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