Data Engineering Manager

Saxon GlobalCoppell, TX

About The Position

This role requires a Data Engineering Manager with hands-on experience in various data engineering technologies and a strong background in data pipeline management. The ideal candidate will have experience working with consulting partners and distributed teams, possess excellent delivery and risk management skills, and have a strong executive presence for reporting to senior leadership. Experience in regulated industries like financial services or mortgage is preferred.

Requirements

  • Hands-on experience with SQL
  • Hands-on experience with Python
  • Hands-on experience with PySpark
  • Hands-on experience with Snowflake (data modeling, performance optimization, RBAC, Bronze/Silver/Gold architecture)
  • Hands-on experience with DBT for transformations/configurations
  • Hands-on experience with ETL/ELT tools (Airflow, Informatica, Glue, ADF, etc.)
  • Strong background in data pipeline testing, validation, and quality frameworks.
  • Experience working with consulting partners (Deloitte preferred)
  • Experience working with distributed onshore/offshore engineering teams.
  • Excellent delivery and risk management skills
  • Able to foresee challenges, maintain RAID logs, and keep workstreams accountable.
  • Strong executive presence; comfortable reporting to AVPs, CIO, and executive steering committees.
  • Effective communicator who can bridge business and technical discussions.

Nice To Haves

  • Experience in financial services, mortgage, or other highly regulated industries preferred.

Responsibilities

  • Manage and oversee data engineering projects.
  • Ensure data pipeline testing, validation, and quality.
  • Collaborate with consulting partners and distributed engineering teams.
  • Manage delivery and risks, maintaining RAID logs.
  • Report to AVPs, CIO, and executive steering committees.
  • Bridge business and technical discussions.
  • Apply expertise in financial services, mortgage, or other regulated industries.
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