Principal Data Engineering Architect


Coppell | Texas

Position type


Job Description

Our client is looking for an experienced and mission-driven Principal Data Engineering Architect to join their Platform Data Engineering team!

Role: Principal Data Engineering Architect
Location: On-site 1x/week in the Coppell, TX  (candidates must currently live in the area)
Duration: Direct Hire/Permanent

You will be responsible for developing and mentoring a highly motivated group of data engineers, refining the company's transformative systems to meet its customer's needs, and contributing to the strategic direction of the business.

Essential Duties & Responsibilities:

  • This role is 70% hands-on engineering and 30% architecture/strategy
  • Architects, develops and implements Data Engineering strategies to support organizational initiatives.
  • Leads the architecture function of the Data Engineering (Pipeline) team
  • Provides leadership and mentorship to data Engineering staff.
  • Lead teams of data & analytics engineers that build, manage, and support enterprise data warehouse and analytics technology infrastructure, tools, and products
  • Inform and influence the overall Enterprise Data technology vision.
  • Accelerate building and improving capabilities centered around data and analytics, such as foundational data assets, data engineering pipelines, data platforms, and products.
  • Build cross-functional relationships with Business product owners, data scientists, and analysts to understand product needs and delivery expectations.
  • Oversee compliance reviews, including partnering with Information security and privacy teams on policy content, creation, maintenance, and awareness to ensure our customer data is secure and protected from unauthorized access.
  • Stay informed on strategic & emerging trends in the Data and Analytics world, lead proofs of concept, and continuously drive innovation across the data and analytics teams.


  • 12+ years of IT Industry experience 
  • 3+ years of architecture experience, implementing data strategies
  • Experience in building a modern next-generation data warehouse platform from the ground up in Snowflake
  • Data Warehousing Experience with SQL Server, Oracle, Redshift, or Teradata
  • Experience with Big Data Technologies 
  • Experience with confluent kafka real-time data processing and API platforms.

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