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
Secondary Skills
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.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
We are committed to providing reasonable accommodations to qualified applicants with disabilities and for sincerely held religious beliefs, as required by applicable law. Applicants who require a reasonable accommodation during the hiring process may request assistance.
Employment may be contingent upon the successful completion of job-related pre-employment screening, which may include background and reference checks and, where permitted by applicable law and applicable to the position, drug testing. All such screening will be conducted in accordance with applicable federal, state, and local laws.
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