(Senior OR Staff) Data Engineer - Data, Analytics and Governance

What are we looking for?

This is a rare opportunity to influence and finish the build-out of SentinelOne’s best-in-class data ecosystem and business intelligence foundation for a rapidly growing cybersecurity company. Our global teams are at the front line of defense against cyberattacks, combining our industry-leading XDR platform and 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 a thrill at driving streamlined data pipelines and having a crucial role in the future growth of every aspect of the company through data-driven insights. The ideal new colleague will not want to code, and instead will use building custom code as a means of last resort, preferring off the shelf tools that do not require code.

What will you do?

• Hands-on build-out finalization of SentinelOne’s Business Data Ecosystem: including data standardization, enabling Self-service Analytics, delivering the company-wide data source of truth and visualization capabilities.
• Data modeling and creation of ERDs (entity relationship diagrams).
• Build analytics workflows based on requirements from data analysts and internal business partners.
• Ingest new data sources into the Business Data Ecosystem as required using existing tools first & developing code as the non-preferred option.
• Verify data governance policies are being followed and collaborate with data owners on any new data governance technology/capabilities as necessary.
• Collaborate with business stakeholders including product teams, data scientists, and internal functions (sales, marketing, support, finance, etc.) to gather and align on requirements & business value.
• Employ your skills & knowledge of GCP native capabilities to streamline & unlock data value across SentinelOne and expand your experience & expertise in delivering business value through industry best tools.
• Develop mitigation strategies and solutions to gaps that are identified.
• Work with data sets in the hundreds of petabytes scale.

What skills & knowledge should you bring?

• Multiple years of hands-on experience in standing up and using data infrastructure, data analytics for a wide variety of business stakeholders using Google Cloud Platform (GCP) native capabilities (or AWS alternative stacks); Data ingestion & schema standardization for event, batch, and streaming models, Data Warehousing, Analytics experience and data optimization for BiqQuery.
• Proven experience and understanding of Python and SQL.
• Must be a strong team player and collaborator, open-minded to possibilities, and present objective perspectives based on data, experience, or research.
• Familiarity with the orchestration of data pipelines using event-based architecture.
• Experience with infrastructure as code such as Terraform or Pulumi. 
• The optimal candidate will have a continual learner mentality and drive to deliver results and must be resolute in documentation development.
• Strong communication, change management skills, self-organization, and self-starting capabilities due to global team construct.
• Strong problem-solving skills, excellent troubleshooting skills, and being open-minded & passionate about solving problems vs. using one specific solution in all situations.
• Ability to take on additional tasks and responsibilities as the organization needs.

Why us?