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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Architect - **Company:** Booz Allen Hamilton Inc. - **Location:** Albuquerque, NM, United States - **Experience:** Starter - **Salary:** $61,900.0 - $141,000.0 - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Amazon S3, Data Analysis, Data as a Services, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Data Integrity, Extract Transform Load (ETL), Data Transformation, Data Structures, Data Systems, Data Warehousing, Relational Databases, Meta-Data Management, Metadata Repositories, Metadata Standards, Cloud Services, SQL Databases, Data Storage Technologies, Usage Tracking, SC Clearance, Collibra, Data Pipelines - **Published:** July 2, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=ea0eff648edc1652 ## About the Role * Experience working with data systems, data engineering, analytics engineering, or data architecture * Experience writing and optimizing SQL queries for data transformation and analysis * Experience working with relational databases or cloud data platforms such as AWS * Experience using Python for data processing, automation, or scripting * Knowledge of ETL and ELT processes and modern data pipeline architectures * Knowledge of data governance concepts , including data quality, metadata management, and data documentation * Ability to communicate technical concepts and collaborate with cross-functional stakeholders * Ability to obtain a Secret clearance * Bachelor's degree Nice If You Have: * Experience with AWS data services such as S3, Glue, Redshift, or Athena * Experience supporting data warehouse or lakehouse architectures * Experience with data orchestration or transformation tools such as Airflow or dbt * Experience with data governance tools such as data catalogs, lineage tools, or metadata management platforms * Experience working with large-scale analytical datasets * Secret clearance * CDMP certification ## Description As organizations increasingly rely on cloud computing and advanced analytics, the ability to design well-structured, scalable, and well-governed data systems is more important than ever. We are looking for a Junior Data Architect to help shape and support the data foundation that powers analytics, reporting, and operational insights across our organization. As a Junior Data Architect, you'll work alongside engineers, analysts, and business stakeholders to design and maintain data structures that make complex data accessible, reliable, and meaningful. Working within AWS-based environments , you'll help model data, support pipeline development, and contribute to building scalable data architectures that support both operational and analytical workloads. Here, you'll work with a multi-disciplinary team in a fast-paced and agile environment. You'll help translate business requirements into well-structured data models and architecture patterns while collaborating closely with data engineers and platform teams to ensure systems are scalable, performant, and reliable. You'll also help support data governance practices , including improving data quality, documentation, and standards that promote responsible and consistent use of organizational data. How You'll Contribute As a Junior Data Architect on our team, you will: * Design and maintain logical and physical data models that support analytics and reporting use cases. * Write and optimize SQL queries to transform and structure data for downstream systems and reporting. * Collaborate with engineering teams to support the design and implementation of data pipelines and data integration workflows within AWS environments. * Translate business and analytical requirements into scalable data structures and architecture patterns. * Help design and maintain data schemas, metadata standards, and documentation to improve data discoverability and usability. * Support development and optimization of ETL and ELT workflows that transform raw data into curated analytical datasets. * Assist in maintaining the reliability, performance, and scalability of data storage and processing systems. * Work with cross-functional stakeholders including product, analytics, and engineering teams to understand and address data needs. * Support data governance initiatives , including improving data quality, lineage visibility, and consistency across datasets. * Help enforce data standards and best practices to ensure data integrity, appropriate access, and responsible data usage across the organization. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Hate organising your photos? 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