Ampstek
Data Architect (Palantir Data Foundry)
Ampstek, Los Angeles, California, United States, 90079
Responsibilities
Expertise in Palantir Data Foundry, Ontology and Python knowledge.
Must have experience with code repository and utility driven development.
Proficient with Transform API within Foundry.
Proficient with batch, real time use case realization in Foundry using Pipeline builder.
Proficient with setting up source syncs, health checks and data expectations.
Must have implementation experience with objects, links, actions, and functions in the Ontology.
Must have ability to structure and relate data using the Object Data Layer.
Ability to translate business requirements into operational workflows and user-driven applications.
Hands on knowledge on Foundry’s Ontology and data structures.
Build powerful applications by weaving together objects, links, and actions.
Understanding of layout principles and user experience to ensure applications are intuitive and visually appealing.
Ability to design dynamic and interactive workflows, leveraging Workshop’s events system and layouts.
Implementing complex logic using custom Functions (e.g., Python, TypeScript) within Workshop widgets. TypeScript knowledge is must required.
Recommend solutions to improve new and existing application solutions.
Offer support by responding to system problems in a timely manner.
Guidance to developers in preparing functional/technical specs to define reporting requirement and ETL process.
Qualifications
Experience: 12+ Years.
Technical Skills: Palantir Data Foundry, App dev, TypeScript and PySpark.
Possessing Palantir Foundry Data Engineer Certification is a plus.
Utility T&D Domain knowledge, Grid modernization.
Possessing past Palantir proven expertise in implementing mission critical production application is a must.
Data Modeling, Framework build on Ingestion, Audit, Logging and Reconciliation.
Hands-on knowledge of Foundry Data architecture and Ontology.
Contact Thanks
Tom
tom@ampstek.com
Location: Los Angeles, CA
#J-18808-Ljbffr
Expertise in Palantir Data Foundry, Ontology and Python knowledge.
Must have experience with code repository and utility driven development.
Proficient with Transform API within Foundry.
Proficient with batch, real time use case realization in Foundry using Pipeline builder.
Proficient with setting up source syncs, health checks and data expectations.
Must have implementation experience with objects, links, actions, and functions in the Ontology.
Must have ability to structure and relate data using the Object Data Layer.
Ability to translate business requirements into operational workflows and user-driven applications.
Hands on knowledge on Foundry’s Ontology and data structures.
Build powerful applications by weaving together objects, links, and actions.
Understanding of layout principles and user experience to ensure applications are intuitive and visually appealing.
Ability to design dynamic and interactive workflows, leveraging Workshop’s events system and layouts.
Implementing complex logic using custom Functions (e.g., Python, TypeScript) within Workshop widgets. TypeScript knowledge is must required.
Recommend solutions to improve new and existing application solutions.
Offer support by responding to system problems in a timely manner.
Guidance to developers in preparing functional/technical specs to define reporting requirement and ETL process.
Qualifications
Experience: 12+ Years.
Technical Skills: Palantir Data Foundry, App dev, TypeScript and PySpark.
Possessing Palantir Foundry Data Engineer Certification is a plus.
Utility T&D Domain knowledge, Grid modernization.
Possessing past Palantir proven expertise in implementing mission critical production application is a must.
Data Modeling, Framework build on Ingestion, Audit, Logging and Reconciliation.
Hands-on knowledge of Foundry Data architecture and Ontology.
Contact Thanks
Tom
tom@ampstek.com
Location: Los Angeles, CA
#J-18808-Ljbffr