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⚙️Data Engineer

Manager, Data Platform & Integrations

crosscountry-consulting · McLean, VA
// classified as
Data Engineer (Pipelines, infra, ingestion, ETL.)
posted
46d ago
location
McLean, VA
languages
tools
> description
From the beginning, our goal was to establish an advisory firm that stands apart from the rest – one that is grounded in our Core Values and dedicated to creating a positive experience not just for our clients, but for our people too. We firmly believe in the strength of collaboration, enthusiasm, generosity, and perseverance as the driving forces behind our success. With advisory solutions spanning accounting and risk, technology-enabled transformation, and transactions, we partner with our clients to solve today’s challenges and deliver present and future value.

Our commitment to our people has earned us numerous awards including Inc5000's Fastest Growing Companies and Glassdoor's Best Places to Work. Explore what our employees have to say about our unique culture by clicking here.

We are looking for a Manager, Data Platform & Integrations to lead the development and operation of our enterprise data platform. This role will play a critical role in integrating core business systems and building a centralized data warehouse that supports analytics, reporting, and operational decision-making across the organization.

 

This role will be the technical owner of the organization’s data platform, responsible for integration architecture, data pipeline design, and the development of a scalable Snowflake-based data warehouse.

 

This is a hands-on technical leadership role that combines platform architecture, engineering oversight, and cross-team coordination. The position will collaborate closely with internal teams and external development partners to deliver reliable, well-governed data infrastructure.

 

This role focuses on data platform architecture and integration, enabling analytics and reporting across the organization. It does not own dashboards or business intelligence development, but it ensures that data assets are reliable, well-structured, and accessible for analytics teams.