14 Technology Holdings

Data Engineer

• 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.

Director of Data Engineering