Skip to main content

Forward Deployed Software Engineer-Palantir Foundry-Director

We solve together so you can deliver unexpected impact.

Richmond, Virginia; Raleigh, North Carolina; Charlotte, North Carolina; Chicago, Illinois; Cincinnati, Ohio; Cleveland, Ohio; Columbia, South Carolina; Columbus, Ohio; Dallas, Texas; Baltimore, Maryland; Rochester, New York; Rosemont, Illinois; Sacramento, California; Boston, Massachusetts; St Louis, Missouri; Salt Lake City, Utah; San Antonio, Texas; San Diego, California; San Francisco, California; Silicon Valley, California; Seattle, Washington; Spartanburg, South Carolina; Albany, New York; Stamford, Connecticut; Tampa, Florida; Toledo, Ohio; Atlanta, Georgia; Tulsa, Oklahoma; Austin, Texas; Washington D.C., District of Columbia; Denver, Colorado; Des Moines, Iowa; Detroit, Michigan; Buffalo, New York; Fort Worth, Texas; Greensboro, North Carolina; Hartford, Connecticut; Houston, Texas; Indianapolis, Indiana; Grand Rapids, Michigan; Irvine, California; Jacksonville, Florida; Kansas City, Missouri; Las Vegas, Nevada; Little Rock, Arkansas; Los Angeles, California; Louisville, Kentucky; Birmingham, Alabama; Fayetteville, Arkansas; Melville, New York; Miami, Florida; Milwaukee, Wisconsin; Minneapolis, Minnesota; Montpelier, Vermont; Nashville, Tennessee; New Orleans, Louisiana; New York, New York; Oklahoma City, Oklahoma; Philadelphia, Pennsylvania; Phoenix, Arizona; Pittsburgh, Pennsylvania; Portland, Oregon

Apply
Job ID
667533WD
Category
Data and Analytics Engineering
Time Type
Full time
Specialty/Competency
Data, Analytics & AI
Level
Director
Travel Requirements
Up to 80%
Locations
Richmond, Raleigh, Charlotte, Chicago, Cincinnati, Cleveland, Columbia, Columbus, Dallas, Baltimore, Rochester, Rosemont, Sacramento, Boston, St Louis, Salt Lake City, San Antonio, San Diego, San Francisco, Silicon Valley, Seattle, Spartanburg, Albany, Stamford, Tampa, Toledo, Atlanta, Tulsa, Austin, Washington D.C., Denver, Des Moines, Detroit, Buffalo, Fort Worth, Greensboro, Hartford, Houston, Indianapolis, Grand Rapids, Irvine, Jacksonville, Kansas City, Las Vegas, Little Rock, Los Angeles, Louisville, Birmingham, Fayetteville, Melville, Miami, Milwaukee, Minneapolis, Montpelier, Nashville, New Orleans, New York, Oklahoma City, Philadelphia, Phoenix, Pittsburgh, Portland

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

  • Lead in line with our values and brand.
  • Develop new ideas, solutions, and structures; drive thought leadership.
  • Solve problems by exploring multiple angles and using creativity, encouraging others to do the same.
  • Balance long-term, short-term, detail-oriented, and big picture thinking.
  • Make strategic choices and drive change by addressing system-level enablers.
  • Promote technological advances, creating an environment where people and technology thrive together.
  • Identify gaps in the market and convert opportunities to success for the Firm.
  • Adhere to and enforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firm's code of conduct, and independence requirements.


The Opportunity

As part of the Data and Analytics Engineering team you lead the development and deployment of innovative data solutions using Palantir Foundry. As a Director you guide large projects, achieving operational excellence and engaging in client interaction, while leveraging your knowledge to drive outcomes and solve complex problems. You also play a strategic advisory role, motivating and coaching teams to deliver quality results and contribute to the firm's success.

Responsibilities

- Utilize proficiency to drive impactful results and address intricate challenges

- Serve as a strategic advisor, inspiring and coaching teams to achieve excellence

- Foster a culture of peak performance and continuous improvement

- Develop innovative processes to enhance project outcomes

- Apply systems thinking to identify opportunities and validate solutions

- Uphold the firm's ethical standards and business conduct

What You Must Have

- Bachelor's Degree

- 8 years of experience

What Sets You Apart

- Certifications preferred: Foundry Data Engineer, Foundry Solution Architect, or Foundry Application Developer

- Excelling in customer-focused solutions

- Strength in analytical and problem-solving skills

- Building applications with large datasets

- Collaborating with diverse technical teams

- Familiarity with Python and/or Typescript

- Experience with Palantir Foundry and AIP

- Delivering production enterprise AI solutions


The salary range for this position is: $155,000 - $410,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. 

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws.  At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

#LI-Hybrid

Apply

Explore the job location and see where you'll be working.

View Map

Related Content

  • PwC Recruiting: H-1B Lottery Policy

    PwC currently is not hiring experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth here.
    Learn More
  • Top Reasons to work at PwC

    We help you grow your skills — so you can go further.
    Learn More
  • Experience PwC

    At PwC, we're inspiring and empowering people to change the world. In times like these, we are guided by our values and committed to supporting our people, clients, and communities. Learn how we can help you navigate this new reality and develop skills for what comes next.
    Learn More
  • Explore benefits

    At PwC, we offer a comprehensive, flexible and competitive benefits program.
    Learn More

Job list

You have not saved any jobs yet.

You have not viewed any jobs yet.

Connect with us

Our Talent Community is a great way to stay connected, learn more about PwC, career opportunities and events that interest you.

Sign up for job alerts

Complete the form below to receive alerts when jobs become available that match your customized job area(s) of interest.

Interested InSelect a job category from the list of options. Search for a location and select one from the list of suggestions. Finally, click “Add” to create your job alert.

  • Data and Analytics Engineering, Richmond, Virginia, United StatesRemove
  • Data and Analytics Engineering, Raleigh, North Carolina, United StatesRemove
  • Data and Analytics Engineering, Charlotte, North Carolina, United StatesRemove
  • Data and Analytics Engineering, Chicago, Illinois, United StatesRemove
  • Data and Analytics Engineering, Cincinnati, Ohio, United StatesRemove
  • Data and Analytics Engineering, Cleveland, Ohio, United StatesRemove
  • Data and Analytics Engineering, Columbia, South Carolina, United StatesRemove
  • Data and Analytics Engineering, Columbus, Ohio, United StatesRemove
  • Data and Analytics Engineering, Dallas, Texas, United StatesRemove
  • Data and Analytics Engineering, Baltimore, Maryland, United StatesRemove
  • Data and Analytics Engineering, Rochester, New York, United StatesRemove
  • Data and Analytics Engineering, Rosemont, Illinois, United StatesRemove
  • Data and Analytics Engineering, Sacramento, California, United StatesRemove
  • Data and Analytics Engineering, Boston, Massachusetts, United StatesRemove
  • Data and Analytics Engineering, St Louis, Missouri, United StatesRemove
  • Data and Analytics Engineering, Salt Lake City, Utah, United StatesRemove
  • Data and Analytics Engineering, San Antonio, Texas, United StatesRemove
  • Data and Analytics Engineering, San Diego, California, United StatesRemove
  • Data and Analytics Engineering, San Francisco, California, United StatesRemove
  • Data and Analytics Engineering, Silicon Valley, California, United StatesRemove
  • Data and Analytics Engineering, Seattle, Washington, United StatesRemove
  • Data and Analytics Engineering, Spartanburg, South Carolina, United StatesRemove
  • Data and Analytics Engineering, Albany, New York, United StatesRemove
  • Data and Analytics Engineering, Stamford, Connecticut, United StatesRemove
  • Data and Analytics Engineering, Tampa, Florida, United StatesRemove
  • Data and Analytics Engineering, Toledo, Ohio, United StatesRemove
  • Data and Analytics Engineering, Atlanta, Georgia, United StatesRemove
  • Data and Analytics Engineering, Tulsa, Oklahoma, United StatesRemove
  • Data and Analytics Engineering, Austin, Texas, United StatesRemove
  • Data and Analytics Engineering, Washington D.C., District of Columbia, United StatesRemove
  • Data and Analytics Engineering, Denver, Colorado, United StatesRemove
  • Data and Analytics Engineering, Des Moines, Iowa, United StatesRemove
  • Data and Analytics Engineering, Detroit, Michigan, United StatesRemove
  • Data and Analytics Engineering, Buffalo, New York, United StatesRemove
  • Data and Analytics Engineering, Fort Worth, Texas, United StatesRemove
  • Data and Analytics Engineering, Greensboro, North Carolina, United StatesRemove
  • Data and Analytics Engineering, Hartford, Connecticut, United StatesRemove
  • Data and Analytics Engineering, Houston, Texas, United StatesRemove
  • Data and Analytics Engineering, Indianapolis, Indiana, United StatesRemove
  • Data and Analytics Engineering, Grand Rapids, Michigan, United StatesRemove
  • Data and Analytics Engineering, Irvine, California, United StatesRemove
  • Data and Analytics Engineering, Jacksonville, Florida, United StatesRemove
  • Data and Analytics Engineering, Kansas City, Missouri, United StatesRemove
  • Data and Analytics Engineering, Las Vegas, Nevada, United StatesRemove
  • Data and Analytics Engineering, Little Rock, Arkansas, United StatesRemove
  • Data and Analytics Engineering, Los Angeles, California, United StatesRemove
  • Data and Analytics Engineering, Louisville, Kentucky, United StatesRemove
  • Data and Analytics Engineering, Birmingham, Alabama, United StatesRemove
  • Data and Analytics Engineering, Fayetteville, Arkansas, United StatesRemove
  • Data and Analytics Engineering, Melville, New York, United StatesRemove
  • Data and Analytics Engineering, Miami, Florida, United StatesRemove
  • Data and Analytics Engineering, Milwaukee, Wisconsin, United StatesRemove
  • Data and Analytics Engineering, Minneapolis, Minnesota, United StatesRemove
  • Data and Analytics Engineering, Montpelier, Vermont, United StatesRemove
  • Data and Analytics Engineering, Nashville, Tennessee, United StatesRemove
  • Data and Analytics Engineering, New Orleans, Louisiana, United StatesRemove
  • Data and Analytics Engineering, New York, New York, United StatesRemove
  • Data and Analytics Engineering, Oklahoma City, Oklahoma, United StatesRemove
  • Data and Analytics Engineering, Philadelphia, Pennsylvania, United StatesRemove
  • Data and Analytics Engineering, Phoenix, Arizona, United StatesRemove
  • Data and Analytics Engineering, Pittsburgh, Pennsylvania, United StatesRemove
  • Data and Analytics Engineering, Portland, Oregon, United StatesRemove