Director of Data Engineering

14 Technology Holdings•Washington, DC

8h•$140,000 - $175,000•Remote

About The Position

14 Technology Holdings (“14TH”) is seeking a Director of Data Engineering to lead their data engineering team. This role involves partnering with the Director of Data to translate strategy into execution, providing technical leadership, and managing a team of data engineers. The position is a hands-on leadership role, split approximately 50% management and 50% individual contribution. The Director will be responsible for defining and maintaining data architecture standards, leading the design and implementation of data models, architecting complex data systems, and managing data pipelines and ETL processes. They will also collaborate with DevOps, IT, security, and compliance teams, and stay current with industry trends to drive innovation.

Requirements

8+ years of experience in data engineering or a related field.
3+ years in a leadership/management role.
Bachelor's degree or higher in Computer Science, Data Science, Information Technology, or a related field.
Deep expertise in data pipeline design, ETL processes, data warehousing, and data integration.
Advanced proficiency in SQL and Python.
Experience with cloud data platforms (AWS, Azure, GCP) and modern data warehouses (Redshift, BigQuery, Snowflake).
Solid command of database systems, data modeling, and schema design.
Proven ability to manage complex projects and deliver high-quality results on time.
Excellent leadership, communication, and interpersonal skills.
Strong analytical and problem-solving skills.

Nice To Haves

A master's degree is a plus.
Familiarity with R is a plus.

Responsibilities

Partner with the Director of Data to translate platform and data strategy into engineering execution.
Establish, champion, and continuously reinforce standards for modeling, transformation, testing, and documentation.
Provide strategic direction and technical leadership to the data engineering team, defining and executing the data engineering roadmap.
Operate as a hands-on leader in a role split roughly 50% management / 50% individual contribution.
Define and maintain data architecture standards and best practices.
Lead the design and implementation of data models and schemas.
Architect and build complex data systems, including large-scale data migration projects.
Design, implement, and manage data pipelines, ETL processes, and data warehousing solutions.
Partner with the DevOps team to deploy new data prototypes and R&D initiatives.
Debug and optimize long-running queries, tuning pipelines for performance, scalability, and reliability.
Recruit, hire, onboard, and mentor a high-performing data engineering team.
Foster a collaborative, inclusive team environment that promotes professional growth and skill development.
Evaluate and select technologies, tools, and platforms that enhance data engineering capability and scale.
Collaborate with data scientists, analysts, software engineers, and other stakeholders to translate data requirements into solutions.
Partner with IT, security, and compliance teams to maintain data privacy, security, and compliance standards.
Monitor and troubleshoot data engineering processes, resolving issues quickly.
Stay current with industry trends and emerging technologies, driving innovation and continuous improvement.