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DADatabricks

Senior Solutions Architect - Lakewatch(m/w/x)

München
Full-timeOn-siteSenior
Data Science

Positioning Databricks' Data Intelligence Platform for cybersecurity clients. 5+ years cybersecurity engineering or architecture expertise required. Client engagement and product adoption focus.

Requirements

  • 5+ years cybersecurity engineering, SecOps, or architecture expertise
  • Proven track record designing/delivering customer security solutions
  • 3+ years customer-facing, pre-sales or consulting role
  • Experience designing/implementing data and AI apps in cybersecurity
  • Experience with anomaly detection, behavioral analytics, AI workflows
  • Deep familiarity SIEM platforms (Splunk, Sentinel, QRadar, similar)
  • SIEM deployment, tuning, detection engineering, migration
  • Desirable familiarity with SOAR platforms
  • Strong understanding security telemetry landscape
  • Familiarity with OCSF standards
  • Experience with detection-as-code workflows
  • Rule authoring in SQL or YAML
  • CI/CD integration for detection pipelines
  • MITRE ATT&CK framework mapping
  • Credibility influencing security analytics products
  • Market insight to shape roadmap capabilities
  • 5+ years customer-facing, pre-sales or consulting role
  • Influencing technical executives, driving security strategy
  • Driving product adoption
  • Experience designing/implementing data and AI apps in cybersecurity
  • Experience with anomaly detection, behavioral analytics, AI workflows
  • Proficient in SQL and Python programming
  • Proficient in debugging and problem-solving with AI tools
  • Experience collaborating with Global System Integrators (GSIs)
  • Experience collaborating with third-party consulting organizations
  • Hands-on experience building solutions in AWS, Azure, or GCP
  • Understanding of cloud-native security logging and monitoring
  • Deep experience in security operations
  • Broad familiarity data engineering, data warehousing, AI/ML for security
  • Broad familiarity data governance, streaming
  • Undergraduate degree in technical field (CS, Cybersecurity, Math, Engineering)

Tasks

  • Pair with Account Executive for product line targets
  • Execute Databricks’ strategic Product Operating Model
  • Engage clients and foster relationships
  • Position specific product line to clients
  • Understand and apply product adoption steps
  • Devise and implement account strategies
  • Develop and deliver presentations and demos
  • Provide technical leadership for big data projects
  • Collaborate with GTM leadership and account teams
  • Design and execute high-impact engagement strategies
  • Serve as a trusted advisor to CISOs and security leaders
  • Conduct workshops and POC execution
  • Develop customer-facing collateral
  • Influence product roadmap with data-driven insights
  • Handle complex technical challenges
  • Act as tier-3 escalation point
  • Establish and refine sales qualification process
  • Ensure well-scoped POC engagements
  • Drive customer success in mission-critical environments
  • Influence technical executives
  • Design and implement data and AI applications
  • Program and debug using SQL and Python
  • Collaborate with Global System Integrators
  • Build solutions in major public cloud environments
  • Understand cloud-native security logging and monitoring
  • Apply deep security operations experience
  • Familiarize with data engineering and warehousing
  • Utilize AI/ML for security
  • Manage data governance and streaming

Work Experience

  • 5 years

Education

  • Bachelor's degree

Languages

  • EnglishNative

Tools & Technologies

  • Splunk
  • Microsoft Sentinel
  • QRadar
  • SOAR
  • Okta
  • Entra ID
  • AWS
  • Azure
  • GCP
  • SQL
  • Python
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Databricks and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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