Forward-Deployed Foundry Data & AI Engineer

Accenture; San Francisco (CA); On-site; USD 70,000 - 235,000; Full time

Job summary

Accenture invites applications for a Forward Deployed Engineer in California. You will deploy Palantir Foundry-based solutions, collaborate with cross-functional teams, and translate client goals into actionable data deployments that drive decision intelligence.

You will design, build, and support client-facing applications; contribute to delivery plans; prototype quickly and ship production-grade pipelines leveraging Python, PySpark, and cloud platforms. Travel up to 100% may be required.

Qualifications

• Minimum 3 years in data engineering with ETL/ELT pipelines and data warehousing.
• Minimum 1 year with Palantir Foundry building data pipelines and deploying apps.
• Minimum 3 years experience with Python, PySpark, or Java.
• Minimum 3 years cloud experience (AWS/Azure/GCP).
• Bachelor’s degree in CS/engineering or 6 years work experience if no degree.

Responsibilities

• Work with cross-functional teams to design and support client-facing applications.
• Translate objectives into delivery plans and roadmaps.
• Prototype, validate with users, and iterate quickly.
• Deliver production-grade pipelines turning data into workflows.
• Communicate progress to executives and stakeholders.

Skills

Data engineering

Python

PySpark

Java

Cloud platforms

Palantir Foundry

Executive communication

Education

Bachelor’s degree in Computer Science or related field

Tools

Palantir Foundry

Palantir Gotham

Git/GitHub

Job description

Accenture invites applications for a Forward Deployed Engineer in California. You will deploy Palantir Foundry-based solutions, collaborate with cross-functional teams, and translate client goals into actionable data deployments that drive decision intelligence.

You will design, build, and support client-facing applications; contribute to delivery plans; prototype quickly and ship production-grade pipelines leveraging Python, PySpark, and cloud platforms. Travel up to 100% may be required.