Role: Senior Data Engineering Manager (Individual Contributor)
Location: Hybrid (Washington, DC Metro)
Type: Full-Time
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
