Senior Data Engineering Leader — Pipelines & Architecture

14 Technology Holdings, Inc.

Washington (District of Columbia)

Hybrid

USD 180.000 - 240.000

Vollzeit

14 Tage+
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Benefits dieser Stelle

Health insurance
401K matching
Unlimited PTO
Paid personal and volunteer leave
13 paid holidays
Parental leave (15 weeks)
MacBook Pro + accessories
BYOD stipend
EAP
Remote friendly (within the U.S.)
Lunches and snacks

Zusammenfassung

14TH is seeking a Senior Data Engineering Lead to guide a high-performing team responsible for data pipelines, warehousing, and modeling across the platform. You will align data engineering with business strategy and drive end-to-end data initiatives.

The role combines hands-on coding with strategic leadership, shaping standards, architecture, and governance while collaborating with scientists, engineers, and IT teams.

Qualifikationen

  • 8+ years in data engineering, with 3+ years in management.
  • Bachelor's degree or higher in CS/IT/Data Science or related; Master's preferred.
  • Deep expertise in data pipeline design, ETL, warehousing, and integration.
  • Advanced SQL and Python; familiarity with R is a plus.
  • Experience with AWS, Azure, GCP and modern data warehouses.
  • Strong project management and delivering on time.
  • Excellent leadership and communication skills.
  • Collaborate with data scientists, analysts, and engineers.

Aufgaben

  • Translate platform and data strategy into engineering execution.
  • Lead standards for modeling, transformation, testing, and documentation.
  • Define and execute data engineering roadmap aligned with strategy.
  • Split leadership role 50% management / 50% IC.
  • Maintain data architecture standards for reliability.
  • Lead design of data models and schemas for integration.
  • Architect and build large-scale data migration projects.
  • Design and manage ETL pipelines and data warehousing.
  • Partner with DevOps to deploy data prototypes.
  • Mentor and grow the data engineering team.
  • Foster inclusive, collaborative team culture.
  • Evaluate technologies and tools to scale data engineering.
  • Collaborate with stakeholders to translate requirements.
  • Ensure data privacy, security, and compliance with IT teams.
  • Monitor and troubleshoot data processes; stay current with trends.

Kenntnisse

SQL
Python
Data pipelines
ETL design
Data warehousing
Cloud platforms
Leadership
Communication
Mentoring
Stakeholder mgmt

Ausbildung

BS in CS/IT/Data Science
MS preferred

Tools

Redshift
BigQuery
Snowflake

Jobbeschreibung

14TH is seeking a Senior Data Engineering Lead to guide a high-performing team responsible for data pipelines, warehousing, and modeling across the platform. You will align data engineering with business strategy and drive end-to-end data initiatives.

The role combines hands-on coding with strategic leadership, shaping standards, architecture, and governance while collaborating with scientists, engineers, and IT teams.

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