Forward Deployed Software Engineer, Palantir Foundry Manager

PWC

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Chicago, ILRaleigh, NCCharlotte, NCCincinnati, OHCleveland, OHColumbia, SCColumbus, OHDallas, TXBaltimore, MDRichmond, VARochester, NYRosemont, ILSacramento, CABoston, MASt. Louis, MOSalt Lake City, UTSan Antonio, TXSan Diego, CASan Francisco, CASilicon Valley, CASeattle, WASpartanburg, SCAlbany, NYStamford, CTTampa, FLAtlanta, GAAustin, TXTulsa, OKWashington, DCDenver, CODes Moines, IADetroit, MIBuffalo, NYFlorham Park, NJFort Worth, TXGreensboro, NCHartford, CTHouston, TXGrand Rapids, MIIndianapolis, INIrvine, CAJacksonville, FLKansas City, MOLas Vegas, NVLittle Rock, ARLos Angeles, CABirmingham, ALFayetteville, ARMelville, NYMiami, FLMilwaukee, WIMinneapolis, MNMontpelier, VTNashville, TNNew Orleans, LANew York, NYOklahoma City, OKPhiladelphia, PAPhoenix, AZPittsburgh, PA
Salary
$99,000–$232,000 / yr
Employment
Full-time
Posted
6 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $199k
This role $166k
$83k $251k
below market most similar roles pay here above market

This role pays less than 80% of similar roles. Most pay $169,550–$229,106 — the blue band above. At the midpoint, this role pays about $166k versus about $199k for comparable roles.

Based on 240 similar postings.

Employer

About PWC

PwC (PricewaterhouseCoopers) is one of the "Big Four" accounting and professional services firms, providing audit, tax, and advisory services to companies, governments, and institutions worldwide. Industry: Professional Services & Accounting

PWC currently has 101 open roles on FindRole.

Listed pay typically runs $99,000–$232,000 across 97 roles with salary data.

Most-posted roles

View all roles at PWC

At a glance

TL;DR · Forward Deployed Software Engineer, Palantir Foundry Manager

As a Forward Deployed Software Engineer-Palantir Foundry-Manager within the Technology Consulting practice, you will lead teams in designing and developing robust data solutions for clients. You will be responsible for transforming raw data into actionable insights by building and deploying software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your daily work involves managing projects, including planning, budgeting, and execution, while coaching team members to leverage their unique strengths. You will utilize proficiency in data engineering and analytics to drive client benefits. Required technical skills include experience with Palantir Foundry, AIP Travel, and Python and/or Typescript. You must analyze system interactions to identify improvements while managing client accounts and fostering enduring relationships to solve complex business problems.

What you'll do

  • Lead the development and deployment of data solutions using Palantir Foundry.
  • Manage project lifecycles including planning, budgeting, and execution to meet client expectations.
  • Coach and mentor team members to leverage their unique strengths and deliver quality outcomes.
  • Analyze system interactions to identify linkages and opportunities for technical improvement.
  • Manage client accounts and foster enduring professional relationships.
  • Utilize data engineering and analytics proficiency to drive measurable client benefits.
  • Address conflicts and engage in challenging conversations with stakeholders and team members.

What we're looking for

  • At least a Bachelor's degree.
  • At least 5 years of experience.
  • Preference for a degree in Analytics/Data Science, AI/Robotics, Computer Science/Information Systems, or Engineering (preferred).
  • At least one of the following: Foundry Data Engineer, Solution Architect, or Application Developer (preferred).
  • Familiarity with Python and/or Typescript (preferred).
  • Experience with Palantir Foundry and AIP Travel (preferred).
  • Strength in analytical and problem-solving abilities (preferred).
  • Experience building applications with large datasets (preferred).

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