At a Glance
- Tasks: Lead the design and delivery of innovative data solutions using Palantir Foundry.
- Company: Join a forward-thinking company at the forefront of data analytics.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with mentorship opportunities and career advancement in a tech-driven environment.
- Why this job: Make a real impact by transforming complex data into actionable insights.
- Qualifications: Experience with Palantir Foundry, data engineering, and strong communication skills.
The predicted salary is between 72000 - 88000 £ per year.
- Opportunity Overview
- We are looking for a
Palantir Lead to drive the delivery of enterprise scale data and analytics solutions within a complex, data-rich environment.
This role will lead the design and implementation of end-to-end Foundry solutions, working across data engineering, ontology development, and application delivery.
You will act as a technical lead, guiding engineers while partnering with stakeholders to translate business requirements into scalable data products.
Key Responsibilities
- Lead the architecture, design, and delivery of Palantir Foundry solutions across ingestion, transformation, and application layers.
- Build and optimize data pipelines using Py Spark, Pipeline Builder, and Code Repositories.
- Develop and maintain ontology models, including object types, relationships, and business logic, using Typescript.
- Design and deliver end-user applications using Foundry tools such as Workshop, Slate, and Application Builder.
- Translate complex business requirements into scalable data models and analytics solutions.
- Oversee data warehouse design and architecture, ensuring alignment with enterprise standards.
- Implement frameworks for data ingestion, validation, audit, logging, and reconciliation.
- Monitor system performance, troubleshoot issues, and continuously improve platform reliability.
- Ensure solutions comply with internal governance and external regulatory requirements.
- Provide technical leadership and mentorship to engineers, including guidance on ETL design and best practices.
- Act as a key point of contact between technical teams and business stakeholders.
- Required Experience & Skills
- Strong experience with Palantir Foundry, including data ingestion and integration, data transformation using Py Spark, Pipeline Builder, and Code Repositories, ontology development using Typescript, and application development within Foundry.
- Solid background in data engineering and data architecture.
- Experience with modern data technologies such as Spark, Snowflake, and Hadoop.
- Proven ability to design and deliver scalable data platforms and analytics solutions.
- Strong understanding of data modeling, ETL processes, and data warehousing concepts.
- Experience building frameworks for data quality, auditing, and reconciliation.
- Ability to lead projects and mentor junior engineers.
- Strong stakeholder engagement and communication skills.
- Nice to Have
- Experience working in large, regulated environments.
- Exposure to operational or real-time data systems.
- Prior experience leading enterprise data platform implementations.
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Palantir Lead employer: Vivid Resourcing
Vivid Resourcing is an exceptional employer for recent graduates seeking a dynamic and rewarding career in recruitment. With a vibrant work culture that fosters ambition and competition, employees benefit from merit-based progression and the potential for high earnings through uncapped commission. Located in the heart of London, the company also offers unique incentives such as trips to Dubai and Palma, making it an attractive place for those looking to grow both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Palantir Lead
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Vivid Resourcing!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Palantir Lead at Vivid Resourcing.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Vivid Resourcing.
✨Apply Directly through Our Website
When you find a suitable opening like Palantir Lead at Vivid Resourcing, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Palantir Lead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Vivid Resourcing, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Vivid Resourcing. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Vivid Resourcing
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Vivid Resourcing!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
