Quick overview
Job description
Location: Richardson, TX
Work Arrangement: Hybrid
Contract Duration: 6 Months
Experience: 10+ years
Job Overview
We are seeking an experienced Palantir Architect to lead the design and delivery of enterprise-scale data, analytics, and AI solutions using Palantir Foundry and Palantir Artificial Intelligence Platform (AIP).
The ideal candidate will have strong expertise in Palantir architecture, Microsoft Azure, data engineering, AI/ML platforms, and enterprise data solutions. This role will collaborate closely with business stakeholders, engineering teams, leadership, and distributed delivery teams to define architecture strategies, establish governance, and drive AI-enabled business transformation.
Primary Skills
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Palantir Foundry
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Palantir AIP
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Microsoft Azure
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Data Architecture
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Enterprise Data Platforms
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AI / Analytics Solutions
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Solution Architecture
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Data Engineering
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AI-Powered Business Transformation
Secondary Skills
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Databricks
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Azure Data Engineering
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Apache Kafka
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Azure Event Hubs
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Machine Learning Pipelines
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MLOps
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Snowflake
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DevOps
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Agile Delivery
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Data Governance
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Cloud Architecture
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Distributed / Offshore Team Coordination
Key Responsibilities
Architecture & Solution Design
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Lead the architecture, design, and delivery of enterprise-scale data, analytics, and AI solutions using Palantir Foundry and AIP.
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Define scalable, secure, and maintainable data and AI architecture strategies.
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Establish architectural standards, governance frameworks, and best practices.
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Design solutions that integrate enterprise data, analytics, and AI capabilities.
Palantir Foundry & AIP
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Architect and implement solutions leveraging Palantir Foundry.
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Utilize Palantir AIP to support AI-powered applications, workflows, and business transformation.
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Integrate data engineering, analytics, and AI/ML capabilities into enterprise solutions.
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Evaluate opportunities to apply AI and advanced analytics to business processes.
Cloud & Data Engineering
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Design cloud-based data solutions using Microsoft Azure.
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Work with technologies such as Databricks, Kafka, Azure Event Hubs, and Snowflake.
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Support real-time streaming and large-scale data processing architectures.
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Provide architectural guidance for machine learning pipelines and MLOps integration.
Stakeholder & Delivery Leadership
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Collaborate with business stakeholders, engineering teams, and technology leadership to define solution strategies.
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Translate business objectives into scalable technical architectures.
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Coordinate effectively with distributed and offshore development teams.
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Communicate complex architecture concepts to technical and non-technical stakeholders.
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Support Agile delivery and DevOps practices across projects.
Required Qualifications
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Strong hands-on experience with Palantir Foundry.
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Strong experience with Palantir AIP.
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Strong Microsoft Azure experience.
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Proven experience designing enterprise-scale data and analytics solutions.
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Experience collaborating with business stakeholders, engineering teams, and leadership.
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Strong understanding of data architecture, AI/ML, and cloud technologies.
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Excellent communication and architectural leadership skills.
Preferred Qualifications
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Microsoft Azure Data Engineer certification.
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Databricks certification.
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Experience with real-time streaming technologies such as Kafka and Azure Event Hubs.
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Experience with machine learning pipelines.
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Experience integrating MLOps capabilities into enterprise platforms.
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Experience with Snowflake.
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Familiarity with Agile delivery methodologies.
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Familiarity with DevOps practices.
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Experience leading distributed or offshore delivery teams.
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