Principal Data Platform Engineer
Posted
Title: Principal Data Platform Engineer
Location: King of Prussia, PA
Position Type: Full Time
Compensation
Pay Range::$140,000 Per Year
Summary:
This position is for a senior individual contributor who will define and manage the technical vision and architecture of an enterprise data platform.
Located in King of Prussia, PA, this full-time role involves making design decisions for scalable analytics and AI/ML use cases.
The successful candidate will work with generic technology platforms to ensure data quality and platform reliability.
Key Responsibilities
Own the technical architecture and roadmap of the enterprise data platform.
Design and manage data ingestion, transformation, and orchestration patterns.
Define and enforce standards for data modeling and curated datasets.
Lead platform and architectural design reviews across multiple teams.
Partner with engineering teams to enable efficient data asset design.
Qualifications
Bachelor's degree in Computer Science, Engineering, Data Science, or related field, or equivalent practical experience.
10 years of experience in designing and building data platforms in production environments.
Deep expertise in data architecture and distributed data processing.
Experience with modern cloud data platforms and optimizing compute and storage.
Excellent communication skills for engaging technical and non-technical stakeholders.
Core Technologies
Cloud Data Platforms | Data Modeling | Distributed Data Processing | Analytics | AI/ML
Onboarding Expectations
Learn more about our Onboarding Process here (url removed)
EEO Statement
Learn more about our EEO policy here (url removed)
#LI-DL1
Location: King of Prussia, PA
Position Type: Full Time
Compensation
Pay Range::$140,000 Per Year
Summary:
This position is for a senior individual contributor who will define and manage the technical vision and architecture of an enterprise data platform.
Located in King of Prussia, PA, this full-time role involves making design decisions for scalable analytics and AI/ML use cases.
The successful candidate will work with generic technology platforms to ensure data quality and platform reliability.
Key Responsibilities
Own the technical architecture and roadmap of the enterprise data platform.
Design and manage data ingestion, transformation, and orchestration patterns.
Define and enforce standards for data modeling and curated datasets.
Lead platform and architectural design reviews across multiple teams.
Partner with engineering teams to enable efficient data asset design.
Qualifications
Bachelor's degree in Computer Science, Engineering, Data Science, or related field, or equivalent practical experience.
10 years of experience in designing and building data platforms in production environments.
Deep expertise in data architecture and distributed data processing.
Experience with modern cloud data platforms and optimizing compute and storage.
Excellent communication skills for engaging technical and non-technical stakeholders.
Core Technologies
Cloud Data Platforms | Data Modeling | Distributed Data Processing | Analytics | AI/ML
Onboarding Expectations
Learn more about our Onboarding Process here (url removed)
EEO Statement
Learn more about our EEO policy here (url removed)
#LI-DL1
