Data Architect
Location Kansas (USA)
Job Title: Lead Data & AI Solutions Architect (Hands-on)
Role Summary:
Design and deliver end-to-end data solutions with AI capabilities using Palantir. Lead initial workshops define architecture and data models and manage a team of data engineers while remaining hands-on with Data pipelines and ML components.
Key Responsibilities:
- Facilitate design workshops and translate business needs into data/AI architecture.
- Define data flow integration patterns and data models across multiple sources.
- Design and implement data pipelines ML pipelines and MLOps practices.
- Establish governance security and observability for data and models.
- Lead and mentor engineers; ensure delivery excellence and coding standards.
- Stay hands-on with Spark//Python orchestration tools and model deployment.
Required Skills:
- 8 years in data engineering/architecture; Good to have at least 1 years in AI/ML solutions.
- Expertise in cloud data platforms Spark streaming and data modeling.
- Experience with MLOps model deployment and monitoring is good to have.
- Strong communication and leadership skills; ability to run workshops.
- Proficiency in Python and SQL.
Data Architect Location Kansas (USA) Job Title: Lead Data & AI Solutions Architect (Hands-on) Role Summary: Design and deliver end-to-end data solutions with AI capabilities using Palantir. Lead initial workshops define architecture and data models and manage a team of data engineers while rema...
Data Architect
Location Kansas (USA)
Job Title: Lead Data & AI Solutions Architect (Hands-on)
Role Summary:
Design and deliver end-to-end data solutions with AI capabilities using Palantir. Lead initial workshops define architecture and data models and manage a team of data engineers while remaining hands-on with Data pipelines and ML components.
Key Responsibilities:
- Facilitate design workshops and translate business needs into data/AI architecture.
- Define data flow integration patterns and data models across multiple sources.
- Design and implement data pipelines ML pipelines and MLOps practices.
- Establish governance security and observability for data and models.
- Lead and mentor engineers; ensure delivery excellence and coding standards.
- Stay hands-on with Spark//Python orchestration tools and model deployment.
Required Skills:
- 8 years in data engineering/architecture; Good to have at least 1 years in AI/ML solutions.
- Expertise in cloud data platforms Spark streaming and data modeling.
- Experience with MLOps model deployment and monitoring is good to have.
- Strong communication and leadership skills; ability to run workshops.
- Proficiency in Python and SQL.
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