Managing Consultant, Palantir Data & AI Engineer

Thought Logic Consulting

. Design, build, and deploy scalable data and AI solutions using Palantir Foundry, including Foundry data pipelines, data modeling, and operational workflows.

Posted 10/2/2026full-timeAtlanta • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying scalable data and AI solutions using Palantir Foundry and AIP, with a strong foundation in data engineering and cloud technologies. Proven ability to lead client engagements, mentor teams, and translate complex business requirements into actionable AI applications.

Highest-signal resume keywords

Palantir Foundry ExperienceGenAI/LLM Solution DevelopmentData Engineering FundamentalsCloud Environment ProficiencyClient-Facing Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonETL/ELTData ModelingData IntegrationData QualityMLOps/LLMOpsOperational WorkflowsAgentic AI FrameworksModel Risk Management

Soft Skills

Effective CommunicationLeadershipCollaborationProblem-SolvingMentoring

Tools & Technologies

Palantir AIPAWSAzureGoogle CloudDatabricksSnowflakeAzure Data FactoryAWS GluePower BITableau

Certifications & Qualifications

Palantir Certifications

Industry Keywords

Data EngineeringSoftware EngineeringAnalytics EngineeringData ScienceConsulting

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSAzureCloudETLKafkaMavenMicroservicesPythonSparkSQLTableau

About the role

Key responsibilities & impact

Design, build, and deploy scalable data and AI solutions using Palantir Foundry, including Foundry data pipelines, data modeling, and operational workflows.
Develop and prototype GenAI- and LLM-powered solutions using Palantir AIP and related enterprise AI capabilities.
Embed with client teams to identify high-value use cases and translate business requirements into technical solutions.
Lead working sessions with senior stakeholders.
Build production-quality data and AI applications using testing, CI/CD, version control, logging, documentation, and performance optimization.
Develop agentic AI workflows, tool-use patterns, and human-in-the-loop controls while balancing quality, safety, latency, cost, and model risk.
Integrate Palantir solutions with enterprise systems, cloud platforms, APIs, microservices, and data sources.
Lead project workstreams and mentor team members.
Create reusable Palantir assets, implementation patterns, documentation, and reference solutions.
Collaborate with client executives, business leaders, product owners, architects, engineers, data teams, Palantir-focused delivery teams, Thought Logic consultants, and technical leaders.

Requirements

What you’ll need

Professional experience in data engineering, software engineering, analytics engineering, data science, or a related technical discipline.
Hands-on Palantir experience, including meaningful implementation experience with Palantir Foundry and/or Palantir AIP.
Experience building and deploying production GenAI/LLM-powered solutions and translating business problems into practical AI use cases.
Strong data engineering fundamentals including SQL, Python or another scripting language, ETL/ELT, data modeling, data integration, and data quality.
Experience with cloud environments such as AWS, Azure, and/or Google Cloud and modern data technologies such as Spark, Airflow/dbt, streaming, or similar platforms.
Ability to lead client-facing workstreams, communicate effectively with senior stakeholders, and operate successfully in ambiguous, fast-paced consulting environments.
Bachelor's degree in Computer Science, Data Engineering, Data Science, Information Systems, Engineering, or a related field.
Ability to legally work for any employer in the U.S. without sponsorship.
Palantir certifications, advanced Foundry experience, or experience with Palantir AIP, Maven, or other Palantir products.
Experience developing ontology-driven applications, operational workflows, or applications directly within the Palantir Foundry ecosystem.
Experience with MLOps/LLMOps, including model evaluation, monitoring, prompt management, experimentation, and model risk considerations.
Experience integrating LLM solutions with enterprise systems through APIs, microservices, or event-driven architectures.
Experience with Databricks, Snowflake, Azure Data Factory, AWS Glue, Redshift, Kafka, Power BI, Tableau, or comparable modern data technologies.
Experience with agentic AI frameworks, retrieval-augmented generation, tool use, or human-in-the-loop AI patterns.
Previous consulting firm experience and a track record of delivering technology solutions directly alongside client technical teams.

Benefits

Comp & perks

Work on meaningful Palantir, data, and AI transformations—not slide decks that sit on shelves.
Take real ownership of how solutions are designed, built, delivered, and experienced by clients.
Work directly with senior client stakeholders and technical teams on high-impact business problems.
Grow your expertise across Palantir Foundry, AIP, data engineering, GenAI, and modern cloud technologies.
Have direct access to firm leadership and influence how our Palantir and Data & Analytics capabilities grow.
Join a culture that values depth over optics, outcomes over activity, and people over process.
Build your career in a firm that is scaling thoughtfully and intentionally while giving consultants room to lead and build.