Data Architect

For over half a decade, Hudson Manpower has been a trusted partner in delivering specialized talent and technology solutions across IT, Energy, and Engineering industries worldwide. We work closely with startups, mid-sized firms, and Fortune 500 clients to support their digital transformation journeys. Our teams are empowered to bring fresh ideas, shape innovative solutions, and drive meaningful impact for our clients. If you're looking to grow in an environment where your expertise is valued and your voice matters, then Hudson Manpower is the place for you. Join us and collaborate with forward thinking professionals who are passionate about building the future of work.

Position Overview: We are seeking an experienced Data Architect to design, develop, and manage data solutions in a hybrid work environment. This role requires strong experience in data management, architecture, and analytics, particularly within federal or state government projects.

Duration: 12+ Month Contract

Key Responsibilities:

- Design and implement data architecture solutions for data management, governance, and quality.

- Build and deploy data warehouses, reporting solutions, dashboards, and analytics platforms.

- Develop and manage cloud-based solutions using AWS and GCP services.

- Utilize Python, SQL, APIs, and web services for data integration and automation.

- Conduct fit-gap analyses, document requirements, and facilitate workshops.

- Identify and implement process improvements and automation opportunities.

- Collaborate with stakeholders to ensure data solutions meet business needs.

Required Qualifications:

- Bachelor’s or Master’s degree in a relevant field, or equivalent experience.

- 4–7 years of experience as a Data Architect.

- 4–7 years’ experience in data management, modeling, governance, and data quality.

- 4–7 years’ experience in reporting, visualization, dashboards, data warehousing, and analytics.

- 4–7 years’ experience building and deploying solutions on AWS and GCP.

- 2–3 years’ experience with Python, SQL, API, and web services for data integration.

- 2–3 years’ experience conducting fit-gap analysis, documenting requirements, and facilitating workshops.

- 2–3 years’ experience implementing automation for process improvement.

- 3–5 years’ experience working in federal or state government settings.