About 14 Technology Holdings

14 Technology Holding’s (“14TH”) portfolio includes Data Analytics firms in multiple spaces and employs over 100 people. Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet share a passion for using data to solve the world’s greatest social and analytical challenges. Since our inception, we’ve worked with more than 400 organizations across the world. We service an ever-expanding portfolio of commercial clients in the automotive, travel, CPG, entertainment, healthcare, media, and telecom industries. Along the way, we’ve developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach.

About the team

The Engineering team at 14TH supports application access, asset management, and broader operational logistics. We work with a number of internal stakeholders across the organization, supporting the underlying infrastructure and data pipelines that allow the rest of the teams to conduct innovative analyses, propose innovative improvements in government operations, and hone messaging for important campaigns. We work in changing, ambiguous environments, so we embrace nuance and complexity to deliver programs that work for the diverse groups of individuals who rely on us. We’re a team of professionals with various work backgrounds and experiences who seek to make 14TH a more efficient, compliant, and positive place to work.

In this position you will

Partner hand in hand with the Director of Data to translate platform and data strategy into engineering execution, operating as peers across the data organization.
Take an already high-performing data engineering team and keep it aligned with best practices — establishing, championing, and continuously reinforcing standards for modeling, transformation, testing, and documentation as the platform evolves.
Provide strategic direction and technical leadership to the data engineering team, defining and executing the data engineering roadmap in alignment with the broader business and data strategy.
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 that ensure the consistency, reliability, and maintainability of data pipelines and systems.
Lead the design and implementation of data models and schemas that enable integration and analysis across the platform.
Architect and build complex data systems, including large-scale data migration projects.
Design, implement, and manage data pipelines, ETL processes, and data warehousing solutions for efficient ingestion, transformation, and storage.
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 across data volume, velocity, and variety.
Recruit, hire, onboard, and mentor a high-performing data engineering team — setting clear expectations, providing regular feedback, and conducting performance evaluations.
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 that meet business needs.
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 across processes, tools, and methodologies.

What we are seeking

8+ years of experience in data engineering or a related field, including 3+ years in a leadership/management role.
Bachelor's degree or higher in Computer Science, Data Science, Information Technology, or a related field. A master's degree is a plus.