Staff Data Engineer - Enterprise Platform, AI foundations

As a Staff Data Engineer, you will be tasked with building, scaling, and modernizing our enterprise data platform across modern data engineering, analytics enablement, governance, and AI-ready data foundations. In this role, you will own and improve the trusted data foundation supporting executive reporting, analytics, revenue operations, product insights, customer reporting, finance, GTM, and operational workflows across the company. You will partner across technical and business teams, and have the opportunity to shape how data engineering scales in an AI-enabled enterprise environment at petabytes scale - a high-impact role offering meaningful platform ownership and broad business visibility.

What Will You Do?

Primary responsibilities include:

• Build, maintain, and troubleshoot production-grade data pipelines across source systems, cloud data platforms, and business-facing data products, where you'll deal with datasets at petabytes scale.
• Support and improve critical data workflows using BigQuery, GCP, Kestra, Nexla, DataHub, Looker, Tableau, and Workato across Salesforce, billing, ARR, customer data, and finance domains.
• Improve data quality, observability, freshness monitoring, schema validation, reconciliation, alerting, and operational reliability for critical datasets.
• Participate in production support for business-critical data workflows, including incident response, root-cause analysis, and runbook development.
• Strengthen data governance and discoverability through metadata management, lineage, ownership, certification, metric definitions etc.
• Partner with Analytics, BI, Product, Finance, GTM, IT, Security, and Engineering stakeholders to deliver trusted datasets, AI-ready data foundations, and scalable data solutions.
• Leverage AI tools responsibly to increase engineering productivity, including SQL support, Python development, debugging, testing, and operational analysis.

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• Advanced SQL and Python proficiency for building, optimizing, troubleshooting, automating, and testing data pipelines across large datasets.
• Proven experience building and supporting batch or near-real-time ingestion pipelines using tools such as Nexla, Workato, Fivetran, APIs, or custom pipelines.
• Hands-on experience with Google cloud data stack - BigQuery and GCP, including production dataset management, performance tuning, IAM, service accounts, and dev/prod environment separation.
• Experience with workflow orchestration tools such as Kestra, Airflow, dbt Cloud, or similar, including scheduling, dependencies, retries, and failure handling.
• Deep understanding of dimensional modeling (facts/dimensions, SCDs) and data quality/reliability practices (reconciliation, schema validation, freshness monitoring, runbooks).
• Familiarity with metadata management, lineage, data catalogs, semantic layers, and engineering best practices (Git, CI/CD, testing, code reviews).

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

Equity & Rewards

• Restricted Stock Units (RSUs)
• Employee Stock Purchase Plan (ESPP)
• Performance-based bonus

Time Off & Wellbeing

• Flexible time off, on top of the standard 5 weeks PTO
• Paid company wellness days and fully paid short-term sick/nursing leave
• Gender-neutral parental leave

Insurance & Financial Security

• Private medical care benefit
• Life and disability insurance
• Pension Insurance contribution
• Global business travel medical insurance
• Employee Assistance Program (EAP)

Work Perks & Flexibility

• Global home office allowance
• Meal allowance
• Hybrid work in Prague (Karlin), Brno (Clubco) or remote in CZ/SK. Only Prague-based employees are required to work from the office at least 2 days//week.

Wellness & Lifestyle

• Wellbeing allowance
• MultiSport benefit program
• Wellness Coach app