Role: Senior Data Engineering Manager (Individual Contributor)

Location: Hybrid (Washington, DC Metro)

Type: Full-Time

About the Team:
Join a technology team responsible for delivering modern cloud-based data platforms that support enterprise analytics and business decision-making. You'll work closely with engineering and business partners to build reliable, scalable data solutions in a collaborative environment.

What You'll Do:

• Lead the design, maintenance, and optimization of a modern cloud data platform.
• Build and support scalable data pipelines, orchestration workflows, and automated data processing.
• Develop high-quality data models and transformation frameworks for reporting and analytics.
• Improve platform reliability, monitoring, and operational performance across production environments.
• Partner with technical and business stakeholders to translate requirements into scalable solutions.
• Support integrations between enterprise systems, APIs, and reporting platforms.
• Mentor team members and promote engineering best practices across distributed teams.

Core Tech & Skills:

• Snowflake or Databricks
• Microsoft Azure or other major cloud platforms
• SQL
• Python
• Apache Airflow or similar workflow orchestration tools
• dbt or modern data transformation frameworks
• Power BI or enterprise BI platforms
• ETL/ELT pipeline development
• API and data integration experience
• Data modeling and warehouse architecture

Nice to Have:

• Financial services or highly regulated industry experience
• PySpark or distributed data processing
• Exposure to AI-enabled analytics or data products
• Experience working with globally distributed engineering teams
• Strong stakeholder communication and leadership skills

Why It's Great:

• Own a highly visible enterprise data platform with significant business impact.
• Work with modern cloud technologies and evolving data architecture.
• Join a collaborative engineering culture that values ownership, innovation, and continuous improvement.