Data Architect

Data Architect The Opportunity:   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. You Have: 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 Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

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