Principal Data Engineering Architect

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.

Requirements:

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.