Palantir Architect

2 weeks ago

San Francisco, United States New York Technology Partners Full time

Required Skills: Python,P alantir ,PySpark


Job summary: We are seeking an experienced Architect with 10 to 14 years of experience to join our team.


Job Description:

The ideal candidate will have strong technical skills in Python, PySpark, and Palantir.

This is a work-from-home position with day shifts and no travel required.


Responsibilities

Design and develop scalable and efficient data architectures using Python, PySpark, and Palantir.

Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.

Provide technical guidance and mentorship to junior team members to ensure best practices are followed

Oversee the implementation of data integration and data processing pipelines.

Ensure data quality and integrity by implementing robust data validation and monitoring processes.

Optimize data storage and retrieval processes to enhance system performance.

Conduct code reviews and provide constructive feedback to improve code quality.

Stay updated with the latest industry trends and technologies to incorporate them into the architecture.

Develop and maintain comprehensive documentation for all data architecture and processes.

Troubleshoot and resolve any issues related to data architecture and processing.

Collaborate with stakeholders to define data governance policies and ensure compliance.

Participate in project planning and provide accurate estimates for development tasks.

Contribute to the continuous improvement of the development process and tools.


Qualifications

Possess strong technical skills in Python, PySpark, and Palantir.

Demonstrate excellent problem-solving abilities and attention to detail.

Have a proven track record of designing and implementing scalable data architectures.

Show experience in mentoring and guiding junior team members.

Display a proactive approach to staying updated with industry trends and technologies.

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