Industry/Sector
Not Applicable
Specialism
Managed Services
Management Level
Manager
Job 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.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Analyse and identify the linkages and interactions between the component parts of an entire system.
- Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
- Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
- Develop skills outside your comfort zone, and encourage others to do the same.
- Effectively mentor others.
- Use the review of work as an opportunity to deepen the expertise of team members.
- Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
Palantir Architect– Manager (10–14 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 PreferencesBasic Qualifications
Minimum Degree Required:
Bachelor's degree in computer science, Data Engineering, Data Science, Information Systems, or a related technical field
Minimum Years of Experience
- 10–12 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:
Master's 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 Manager, 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
Travel Requirements
Not Specified
Job Posting End Date
