Analytics Platform Lead - Big Data & Distributed Systems

Socket.dev

Cupertino (CA)

On-site

USD 190,000 - 230,000

Full time

4 days ago
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Job summary

Socket.dev's Analytics Platform team is seeking a visionary leader to advance our data analytics portfolio. You will guide a talented group of engineers, define the technical vision, and drive planning, execution, and success of large-scale analytics tools across the company.

This role emphasizes mentoring and growing the team, fostering a healthy, collaborative culture, and partnering with cross-functional teams to deliver high-impact data analysis capabilities that empower product and business

Qualifications

  • 5+ years of production software development with C, C++, Python, or Java.
  • 5+ years of distributed systems experience (Hadoop, Spark, Kafka).
  • Excellent spoken and written communication skills.
  • Strong analytical thinking to solve challenging problems.
  • 5+ years of experience leading a team of software engineers.

Responsibilities

  • Lead the Analytics Platform team and advance the portfolio through research and development.
  • Define the technical vision and guide planning, execution, testing and rollout of solutions.
  • Mentor, grow, and cultivate a healthy, collaborative team culture.
  • Collaborate with cross-functional teams to deliver scalable analytics tools for rapid data analysis.
  • Drive ownership and accountability for project success across engineering teams.

Skills

C
C++
Python
Java
Distributed systems
Hadoop
Spark
Kafka
Communication skills
Analytical thinking
Team leadership

Tools

Hadoop
Spark
Kafka

Job description

Socket.dev's Analytics Platform team is seeking a visionary leader to advance our data analytics portfolio. You will guide a talented group of engineers, define the technical vision, and drive planning, execution, and success of large-scale analytics tools across the company.

This role emphasizes mentoring and growing the team, fostering a healthy, collaborative culture, and partnering with cross-functional teams to deliver high-impact data analysis capabilities that empower product and business

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