Senior Data Engineering Manager

Turn2Partners; Washington (District of Columbia); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Turn2Partners is seeking a Senior Data Engineering Manager (Individual Contributor) to lead delivery of a modern cloud data platform in a hybrid Washington, DC metro environment. You will drive design, maintenance, and optimization of data pipelines and models, partnering with engineering and business teams to translate requirements into scalable analytics solutions.

The role emphasizes ownership of data architecture, reliability, and performance, with opportunities to influence enterprise

Qualifications

• Proficiency with cloud-based data platforms and modern data tooling.
• Experience building scalable data pipelines and data models.
• Strong SQL and Python programming.
• Knowledge of ETL/ELT processes and data warehousing concepts.

Responsibilities

• Lead 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 stakeholders to translate requirements into scalable data solutions.
• Support integrations between enterprise systems, APIs, and reporting platforms.
• Mentor team members and promote engineering best practices across distributed teams.

Skills

Snowflake/Databricks

Cloud platforms (Azure, etc.)

SQL

Python

Airflow

dbt/Data transformation

Power BI/BI platforms

ETL/ELT pipelines

API/data integration

Data modeling/warehousing

Job description

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.