Data Architect

Washington, Washington DC

RIT Solutions, Inc.

Collaborate with stakeholders to define data engineering requirements, success metrics, and alignment with organizational objectives.
Design, develop, and deploy scalable, efficient, and robust data pipelines to support analytics, reporting, and AI applications.
Create reusable frameworks and components to streamline data pipeline development and optimize workflows across multiple products.
Shape technical direction and architectural decisions by providing expertise across teams, ensuring scalability and maintainability of data solutions.
Work closely with DevOps, MLOps, and DataOps teams to ensure seamless integration of data solutions into operational environments.
Regularly evaluate the performance of data pipelines, databases, and storage systems to identify areas for optimization and cost-efficiency.
Refine and evolve data infrastructure to adapt to changing business requirements, ensuring reliability and efficiency.
Mentor and coach junior team members, promoting technical growth and fostering a collaborative and innovative team culture.
Facilitate knowledge sharing and drive the adoption of best practices for ETL development, coding standards, and data engineering workflows.
Research and integrate cutting-edge tools, technologies, and methodologies to continuously advance the organization's data engineering capabilities.

Date Posted: 16 May 2025