Senior Data Lake Engineer

| San Francisco | Remote
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About Us:

SentinelOne is defining the future of cybersecurity through our XDR platform that automatically prevents, detects, and responds to threats in real-time. Singularity XDR ingests data and leverages our patented AI models to deliver autonomous protection. With SentinelOne, organizations gain full transparency into everything happening across the network at machine speed – to defeat every attack, at every stage of the threat lifecycle. 

We are a values-driven team where names are known, results are rewarded, and friendships are formed. Trust, accountability, relentlessness, ingenuity, and OneSentinel define the pillars of our collaborative and unified global culture. We're looking for people that will drive team success and collaboration across SentinelOne. If you’re enthusiastic about innovative approaches to problem-solving, we would love to speak with you about joining our team!

What will you do?

  • Hands on build of enterprise Data Lake / Data Warehouse / Analytics solution that serves both external product and internal reporting & analytics needs. 
  • Data modelling and creation of ERDs (entity relationship diagrams)
  • Build ETLs based on requirements from data analysts
  • Ingest new data sources into the enterprise data lake as required
  • Collaborate with business stakeholders including product teams, data scientists, and internal functions (sales, marketing, support, finance, etc.) to gather and align on business requirements.
  • Develop mitigation strategies and solutions to gaps that are identified.
  • Work with data sets in the hundreds of petabytes scale.

What are we looking for?

This is a rare opportunity to lead, architect, and build the business intelligence foundation for a growing information security company! You’ll be working in an industry leading high-tech cybersecurity company. Our global teams are at the front line of defense against cyberattacks, combining unmatched cyber security knowledge! We’re joined by one mission – but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team that feels excitement at the prospect of a challenge and feels a thrill at resolving security gaps that inhibit our privacy.

What skills & knowledge should you bring?

  • 10+ years of hands-on experience in Data Lakes, Data Warehousing, and Analytics.
  • Hands on AWS experience.
  • Hands-on experience with Amazon EMR, Amazon S3, Presto, Glue, Lambda, Apache Spark, Python, Amazon RDS, Hive, Amazon Elastic Kubernetes Service (EKS), Elastic Search, Apache Ranger, SQL, and other leading edge big data and BI technologies.
  • Hands-on experience with Tableau (must have) and SiSense (nice to have).
  • Big data experience working with data sets in the hundred of petabytes scale. 
  • Strong communication and change management skills 
  • Robust problem-solving skills and excellent troubleshooting skills

Why us?

You will work on real-world problems and make an impact by protecting our customers from cyber threats. You will be joining a cutting-edge project and will be able to influence the architecture, design, and structure of our core platform. You will tackle extraordinary challenges and work with the very BEST in the industry.

  • Medical, Vision, Dental, 401(k), Commuter, Health and Dependent FSA
  • Unlimited PTO
  • Paid Company Holidays
  • Paid Sick Time
  • Gym membership reimbursement
  • Cell phone reimbursement
  • Numerous company-sponsored events including regular happy hours and team building events

SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

SentinelOne participates in the E-Verify Program for all U.S. based roles. 

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Location

444 Castro Street, Mountain View, 94041

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