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Staff Data Engineer - Enterprise Platform, AI foundations

SentinelOne· Engineering
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Hybrid (Prague, CZ / Brno, CZ / Remote in CZ/SK)Full-timePosted 4w ago

About the role

Role focused on building, scaling, and modernizing SentinelOne's enterprise data platform to support analytics, governance, and AI-ready data foundations at petabytes scale. Partner across technical and business teams to deliver trusted datasets and scalable data solutions in an AI-enabled enterprise environment.

Responsibilities

  • Build, maintain, and troubleshoot production-grade data pipelines across source systems, cloud data platforms, and business-facing data products, handling 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.

Qualifications

  • 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 cloud-based data stack - such as GCP and BigQuery (preferred) or comparable AWS services (Redshift, Athena etc.), 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).

Skills

Required:SQLPythonData Pipeline DevelopmentGCP / BigQueryWorkflow Orchestration

Benefits

  • Equity & Rewards: Restricted Stock Units (RSUs), Employee Stock Purchase Plan (ESPP), Performance-based bonus
  • Time Off & Wellbeing: Flexible time off, 5 weeks PTO, paid wellness days, fully paid short-term sick/nursing leave, gender-neutral parental leave
  • Insurance & Financial Security: Private medical care, life and disability insurance, pension contributions, global travel medical insurance, EAP
  • Work Perks & Flexibility: Global home office allowance, meal allowance, hybrid work in Prague, Brno or remote in CZ/SK; Prague-based employees required to be in office 2 days/week
  • Wellness & Lifestyle: Wellbeing allowance, MultiSport, Wellness Coach app
Last updated Oct 22, 2026. Interested? Apply on the company site.
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About SentinelOne

AI-Powered Enterprise Cybersecurity Platform

SentinelOne unifies AI-powered endpoint, cloud, identity, and data protection—enhanced by our Security Data Lake for seamless and efficient cybersecurity.

CybersecurityAI SecurityEndpoint SecurityCloud SecurityAI-SIEMIdentity SecurityEDRXDR
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