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14 Technology Holdings

Director of Data Engineering

Engineering LeadershipConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 8 years of experience in data engineering or a related field, including at least 3 years in a leadership or management role.
  • A bachelor's degree or higher in Computer Science, Data Science, Information Technology, or a related field.
  • Deep expertise in data pipeline design, extract, transform, and load processes, data warehousing, and data integration.
  • Advanced proficiency in SQL and Python.
  • Experience with cloud data platforms such as AWS, Azure, or GCP and modern data warehouses such as Redshift, BigQuery, or Snowflake.
  • A solid command of database systems, data modeling, and schema design.
  • Proven ability to manage complex projects and deliver high-quality results on time.
  • Strong analytical and problem-solving skills, with a focus on innovation and continuous improvement.

Responsibilities

  • Partner with the Director of Data to translate platform and data strategy into engineering execution, operating as peers across the data organization.
  • Keep the data engineering team aligned with best practices by establishing, championing, and 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 broader business and data strategy.
  • Work in a role split roughly 50% management and 50% individual contribution.
  • Define and maintain data architecture standards and best practices to ensure 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, extract, transform, and load processes, and data warehousing solutions for efficient ingestion, transformation, and storage.
  • Partner with the DevOps team to deploy new data prototypes and research and development 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; set clear expectations, provide regular feedback, and conduct 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.

Desired Qualifications

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

About the Company

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