$160000$180000 base; exceptional candidates may be considered above target; annual bonus potential
A large enterprise technology organization is hiring a senior hands-on engineer to lead the design and delivery of a new data platform supporting services and selected analytical applications. This is not a pure architecture position. You will set technical direction write production code guide other engineers and help move the platform from initial design through reliable operation.
What Youll Do
Define scalable patterns for analytical storage batch and event-driven ingestion data processing and distributed query workloads.
Build and optimize Python-based pipelines and services that support high-volume data processing.
Design APIs and service interfaces that make governed data available to reporting and internal applications.
Contribute to data-intensive web capabilities using a current JavaScript/TypeScript stack.
Establish practical standards for data modeling quality security automated testing deployment and operational visibility.
Diagnose performance and reliability issues across data and application layers.
Lead architecture reviews document key decisions and mentor engineers.
What Youll Bring
8 years of data engineering data-platform or closely related software-engineering experience including senior technical leadership.
Strong production experience with Python and SQL.
Hands-on experience with lakehouse architecture open table formats cloud object storage partition design schema evolution and versioned data management.
Experience with both batch and event-driven data processing plus distributed query or large-scale analytical workloads.
Experience designing production APIs working with relational data stores and contributing to modern web applications.
Experience deploying and operating cloud-based containerized services with automated delivery and monitoring practices.
A record of making sound architecture decisions improving engineering standards and mentoring other engineers.
U.S. work authorization.
This role is best suited to an engineer who enjoys owning a broad technical surfacefrom data architecture and production pipelines through the services and applications that make the platform useful.
LEAD DATA SYSTEMS ENGINEERDallasFort Worth Metro Area On-siteFull-Time Direct Hire$160000$180000 base; exceptional candidates may be considered above target; annual bonus potentialA large enterprise technology organization is hiring a senior hands-on engineer to lead the design and delivery of a n...
LEAD DATA SYSTEMS ENGINEER
DallasFort Worth Metro Area On-site
Full-Time Direct Hire
$160000$180000 base; exceptional candidates may be considered above target; annual bonus potential
A large enterprise technology organization is hiring a senior hands-on engineer to lead the design and delivery of a new data platform supporting services and selected analytical applications. This is not a pure architecture position. You will set technical direction write production code guide other engineers and help move the platform from initial design through reliable operation.
What Youll Do
Define scalable patterns for analytical storage batch and event-driven ingestion data processing and distributed query workloads.
Build and optimize Python-based pipelines and services that support high-volume data processing.
Design APIs and service interfaces that make governed data available to reporting and internal applications.
Contribute to data-intensive web capabilities using a current JavaScript/TypeScript stack.
Establish practical standards for data modeling quality security automated testing deployment and operational visibility.
Diagnose performance and reliability issues across data and application layers.
Lead architecture reviews document key decisions and mentor engineers.
What Youll Bring
8 years of data engineering data-platform or closely related software-engineering experience including senior technical leadership.
Strong production experience with Python and SQL.
Hands-on experience with lakehouse architecture open table formats cloud object storage partition design schema evolution and versioned data management.
Experience with both batch and event-driven data processing plus distributed query or large-scale analytical workloads.
Experience designing production APIs working with relational data stores and contributing to modern web applications.
Experience deploying and operating cloud-based containerized services with automated delivery and monitoring practices.
A record of making sound architecture decisions improving engineering standards and mentoring other engineers.
U.S. work authorization.
This role is best suited to an engineer who enjoys owning a broad technical surfacefrom data architecture and production pipelines through the services and applications that make the platform useful.