Palantir Forward Deployed Engineer

About the role

The Forward Deployed Engineer plays a critical role in helping clients transform their operations through the deployment and customization of Palantir software solutions. This role requires a combination of technical skills, client-facing abilities, and a strong commitment to delivering measurable results.

Responsibilities

• Work with cross-functional teams to design, build, and support client-facing applications.
• Translate client objectives into a detailed delivery plan, including gathering requirements, analyzing data, and defining a roadmap from prototype to scaled deployment.
• Prototype and iterate quickly, building from scratch when necessary and validating with users.
• Deliver production-grade solutions that turn client data into operational workflows and decision support.
• Align and communicate effectively, writing clear requirements, sharing progress with stakeholders, and driving work to release.

Requirements

• Minimum of 3 years hands-on experience in data engineering, including ETL/ELT pipelines, data warehousing, and large-scale data integration.
• Minimum of 1 year experience with Palantir Foundry building data pipelines, managing datasets, and deploying applications within Palantir Foundry and/or Palantir Gotham.
• Minimum of 1 year experience with prompt engineering and applied AI techniques within Palantir (AIP, model deployment, feature engineering).
• Minimum of 3 years experience with cloud platforms (AWS, Azure, or GCP).
• Minimum of 3 years experience in Python OR PySpark OR Java.
• Bachelor’s degree in Computer Science, Engineering, or equivalent (minimum 12 years work experience), or Associate’s degree with minimum 6 years work experience.

Qualifications

• Client success mindset: Own the outcome, go beyond the stated scope when needed, and consistently deliver value for the customer.
• Structured problem solving: Break down ambiguous problems, identify constraints, and design end-to-end solutions.
• Software + data engineering fundamentals: Write production code (e.g., Python, TypeScript) and build applications on large structured and unstructured datasets.
• Bias for ownership: Work independently, drive decisions, and be accountable for results.
• Track record of delivery: Ship software/analytics that produce measurable, real-world outcomes.
• Collaboration and client-facing communication: Work effectively with teammates and clients across technical levels; embed with customer teams when required.

Skills

• Client success mindset: Own the outcome, go beyond the stated scope when needed, and consistently deliver value for the customer.
• Structured problem solving: Break down ambiguous problems, identify constraints, and design end-to-end solutions.
• Software + data engineering fundamentals: Write production code (e.g., Python, TypeScript) and build applications on large structured and unstructured datasets.
• Bias for ownership: Work independently, drive decisions, and be accountable for results.
• Track record of delivery: Ship software/analytics that produce measurable, real-world outcomes.
• Collaboration and client-facing communication: Work effectively with teammates and clients across technical levels; embed with customer teams when required.

Benefits

At Accenture, we offer a comprehensive benefits package that includes:

• Medical, dental, and vision insurance
• Life and disability insurance
• A 401(k) plan
• Bonus opportunities
• Paid holidays and vacation days

Pay

Compensation at Accenture varies depending on a wide array of factors, including the specific office location, role, skill set, and level of experience. The annual salary range for this role is provided above.

Schedule

Travel may be required for this role, with the amount varying from 0 to 100% depending on business need and client requirements.