We are seeking a highly skilled and experienced Lead Palantir Data Software Engineer to join our dynamic team and lead transformative data projects within the Insurance domain.

This role is ideal for professionals who excel at addressing complex big data challenges, leveraging cutting-edge technologies like Palantir Foundry, and building scalable analytics solutions to empower critical business decision-making.

Responsibilities

Design and manage complex data pipelines and analytics solutions to address business challenges in the Insurance domain
Develop scalable workflows using Python and PySpark to handle large datasets efficiently
Optimize querying and data manipulation through expertise in SQL, with a preference for Spark SQL
Architect advanced data warehousing solutions, focusing on ELT techniques and distributed computing systems
Collaborate with stakeholders to align data solutions with organizational goals and requirements
Apply Agile and Scrum methodologies to drive iterative development processes and deliver results effectively
Integrate and leverage Palantir Foundry to support advanced data transformation and visualization needs
Analyze, troubleshoot, and resolve technical issues to ensure data solution reliability and scalability
Mentor team members, fostering a culture of technical growth and innovation
Communicate complex technical concepts clearly and professionally to diverse audiences
Support and enhance cross-functional collaboration in a global, multicultural team environment

Requirements

Bachelor's degree or equivalent in Computer Science, Data Science, or related field
9-12 years of IT experience, including at least 5 years focused on large-scale distributed computing systems
At least 6 months of hands-on development experience with Palantir Foundry
Proficiency in Python and PySpark for building and optimizing data pipelines
Expertise in SQL, including Spark SQL, for advanced querying and data manipulation
Strong knowledge of data warehousing principles and ELT techniques
Background in Agile and Scrum methodologies to manage and execute projects
Strong analytical and problem-solving skills for complex data challenges
Capability to work autonomously and manage workloads effectively
Proven ability to communicate technical solutions through written and verbal means
Flexibility to collaborate in a global and multicultural environment
English language proficiency at an Upper-Intermediate level (B2) or higher

Nice to have

Background in the Insurance domain or experience in Finance functions across industries
Familiarity with front-end technologies like HTML, CSS, and JavaScript
Experience with Gradle for build automation
Showcase of leading cross-functional or globally distributed teams
Understanding of machine learning principles for data-driven insights