Palantir Consultant- Senior Associate-Analytics As Service - Operate

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services.

Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow.

Skills

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

• Respond effectively to the diverse perspectives, needs, and feelings of others.
• Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness, enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firms code of conduct, and independence requirements.
  
  

Palantir Data Engineer – Senior Associate (5–9 Years)

Our Analytics & Insights Managed Services team brings a unique combination of industry expertise, technology, data management and managed-services experience to create sustained outcomes for our clients and improve business performance. We empower companies to transform their approach to analytics and insights while building your skills in exciting new directions. Have a voice at our table to help design, build and operate the next generation of software and services leveraging the power of Palantir.

Basic Qualifications

Job Requirements and Preferences

• Minimum Degree Required: Bachelors degree in computer science, Data Engineering, Data Science, Information Systems, or a related technical field
• Minimum Years of Experience: 5–9 years of hands-on data engineering experience, including 2+ years working with Palantir Foundry or Gotham, Palantir Foundry, Snowflake (ingest/query), Kafka (streaming), Python & Pyspark, SQL, Data Modeling
  
  

Preferred Qualifications

• Degree Preferred: Masters degree in data science, Analytics, Computer Science, Information Systems, or related discipline
• Preferred Fields of Study: Data Processing/Analytics/Science, Management Information Systems, Software Engineering
  
  

Preferred Knowledge & Skills

As a Senior Associate, you architect, develop, and optimize end-to-end data solutions on Palantir platforms, while mentoring junior teammates. You demonstrate deep technical acumen across:

• Palantir Platform & Data Modeling – Design and maintain Foundry ontologies, datasets, and code workbooks – Build reusable transforms and data models that underpin business workflows
• Palantir Foundry, Snowflake (ingest/query), Kafka (streaming), Python & Pyspark, SQL, Data Modeling
• Cloud-Scale Data Engineering – Develop and optimize ETL/ELT pipelines in Python (PySpark) and SQL – Integrate diverse sources (batch, streaming, JDBC/ODBC, REST/Kafka/Kinesis) into Foundry
  
  

– Build and deploy data pipelines using Snowflake

• Performance & Scalability – Tune high-volume, latency-sensitive data feeds for both batch and event-driven patterns – Employ caching, partitioning, and parallelization best practices
• DevOps & Automation – Implement CI/CD pipelines with Git, Docker, Kubernetes, and infrastructure-as-code – Automate testing, deployment, and versioning of Foundry code
• Data Governance & Quality – Leverage Foundry’s built-in lineage, access controls, and monitoring capabilities – Collaborate with data stewards to define quality metrics and enforce policies
• Cloud & Infrastructure – Hands-on experience with AWS, Azure or GCP services (e.g., S3, Glue, Dataflow) supporting Palantir deployments – Understand network security, IAM, and multi-cloud/hybrid architectures
• Collaboration & Mentorship – Partner with data scientists, analysts, and architects to translate requirements into robust solutions – Coach junior engineers, share best practices, and drive continuous improvement
• Communication & Delivery – Present technical designs and performance analyses to senior stakeholders – Contribute accelerators, playbooks, and internal tools to accelerate client delivery

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