Palantir - Data Engineer Senior Associate - Operate
Palantir - Data Engineer Senior Associate - Operate
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Job Description
Industry/Sector
Not ApplicableSpecialism
Managed ServicesManagement Level
Senior AssociateJob Description & Summary
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 isnt clear you ask questions and you use these moments as opportunities to grow.
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 (59 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.
Job Requirements and Preferences
Basic Qualifications
- Minimum Degree Required:
Bachelors degree in computer science Data Engineering Data Science Information Systems or a related technical field - Minimum Years of Experience:
59 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 Foundrys 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
Travel Requirements
Not SpecifiedJob Posting End Date
Required Experience:
Senior IC
Employment Type
Full-Time
