Data Architect - Cleared - Position Pending Contract Award

Description

At CDW, we make it happen, together. Trust, connection, and commitment are at the heart of how we work together to deliver for our customers. It's why we're coworkers, not just employees. Coworkers who genuinely believe in supporting our customers and one another. We collectively forge our path forward with a level of commitment that speaks to who we are and where we're headed. We're proud to share our story and Make Amazing Happen at CDW.

The Data Engineering team will be responsible for deploying and maintaining the Data Mesh architecture, ensuring the efficient management, accessibility, and interoperability of enterprise data across systems.

Experience in Data Architecture:

Minimum of eight (8) years of experience designing and implementing data architectures, including large-scale data environments such as data lakes, data warehouses, and data mesh frameworks.

Experience with Cloud Platforms:

Minimum of five (5) years of experience working with cloud-based data platforms (e.g., AWS, Azure, Google Cloud), particularly for data storage, processing, and analytics.

Leadership and Team Management:

Demonstrated two (2) years of experience leading and mentoring data engineering teams, fostering collaboration, and ensuring successful project execution.

Education:

A bachelor's or master's degree in computer science, Information Systems, Data Engineering, or a related technical field, preferred.

Team Resource Specific Skills:

The Data Engineering team shall possess advanced technical expertise in data governance, cloud-based data infrastructure, and data mesh architecture to ensure the successful implementation and ongoing support of the organization's decentralized data management strategy. Team 1 members are required to demonstrate proficiency in AWS services, including but not limited to Simple Storage Service (S3), Redshift, Glue, Lake Formation, and Lambda, for the development and maintenance of robust, scalable Extract Transform Load (ETL) pipelines that fulfill data domain requirements and facilitate self-service analytics.

Team members shall collaborate directly with data domain teams to design and deploy domain-specific data products, ensuring adherence to established organizational standards for schema design, data transformations, and storage solutions. A comprehensive understanding of data governance practices is mandatory, with responsibilities including but not limited to compliance with data privacy, access controls, and lineage requirements, as well as the management of a data catalog to enhance discoverability across all domains.

We make technology work so people can do great things.

CDW is a leading multi-brand provider of information technology solutions to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, CDW helps its customers to navigate an increasingly complex IT market and maximize return on their technology investments. Together, we unite. Together, we win. Together, we thrive.

CDW is an equal opportunity employer. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by state and local law.