Senior Solutions Architect Lakewatch

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA)

The Solutions Architect (Lakewatch) team executes on Databricks strategic Product Operating Model that provides enhanced focus on earlier stage highly prioritized product lines in order to establish product market fit and set the course for rapid revenue growth. They are part of a global go-to-market team mandate though individually will cover a specific local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams they will jointly engage clients foster the necessary relationships position in-depth the specific product line so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach the guardrails and the steps needed to successfully adopt the product line as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together they will devise and implement a strategy across their assigned set of accounts develop presentations demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5 years of cybersecurity engineering security operations (SecOps) or security architecture expertise with a proven track record of designing and delivering customer-facing security solutions (of which 3 years are in a customer-facing pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity including anomaly detection behavioral analytics and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk Microsoft Sentinel QRadar or similar) including deployment tuning detection engineering and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR) network (firewall DNS proxy) identity (Okta Entra ID) cloud (AWS CloudTrail Azure Activity Log GCP Audit) and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with detection-as-code workflows including rule authoring in SQL or YAML CI/CD integration for detection pipelines and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor serve as an expert Solutions Architect building technical credibility with CISOs security architects SOC leadership and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops POC execution and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5 years in a customer-facing pre-sales or consulting role influencing technical executives driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity including anomaly detection behavioral analytics and agentic AI workflows for triage and investigation.
• Proficient in programming debugging and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS Azure or GCP) with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations with broad familiarity across one or more of the following: data engineering data warehousing AI/ML for security data governance and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science Cybersecurity Applied Mathematics Engineering or similar.