- Lead technical discovery and translate client objectives, environments, constraints, and risks into current-state and target-state architectures.
- Provide presales support by developing solution approaches, architecture diagrams, technical presentations, proposals, and responses to client requirements.
- Define engagement scope, activities, assumptions, dependencies, responsibilities, exclusions, deliverables, acceptance criteria, and level-of-effort estimates.
- Provide architectural leadership and technical oversight across SecOps Engineering and Data Analytics engagements.
- Evaluate SIEM, SOAR, data pipeline, observability, automation, AI, and related technologies against client use cases, integration requirements, operating models, and existing investments.
- Develop and maintain reference architectures, discovery questionnaires, scoping tools, estimation models, implementation patterns, and technical standards.
- Mentor SecOps Engineers and SecOps Data Engineers while reviewing designs and deliverables for technical accuracy, scope alignment, and maintainability.
- Partner with account executives and regional sales teams to qualify opportunities, shape services, identify technical risks, and establish realistic client expectations.
Data engineering