
Senior Professional Services Consultant
Posted 5 days ago

Posted 5 days ago
This is a fully remote position, open to applicants in United States.
• Act as the main technical delivery owner throughout the customer lifecycle
• Direct deployments of multi-cloud, hybrid, and regulated DSPM architectures along with Zero Trust ecosystems
• Set up and enhance cloud and on-premises data connectors across AWS, Azure, GCP, Snowflake, Databricks, BigQuery, and enterprise repositories
• Tailor data classification pipelines, Data Firewall policy engines, and sensitive data discovery workflows
• Execute enterprise identity, access, and governance controls, including SSO/SAML, SCIM, RBAC, minimal-permission service accounts, and cloud IAM integrations
• Troubleshoot intricate customer deployment issues
• Collaborate with Core Engineering and Product Management to shape platform capabilities and conduct pre-sales assessments
• Design and integrate DSPM functionalities alongside ZIA, ZPA, ZDX, and the comprehensive Zero Trust Exchange
• Provide support for complex enterprise environments, including AI-driven workload and GenAI pipeline scenarios
• Demonstrated success in customer-facing technical delivery roles such as Professional Services, Forward Deployed Engineering, or Security/Cloud Architecture Consulting for enterprise clients
• Practical technical experience in deploying data security or cloud solutions across AWS, Azure, GCP, Snowflake, Databricks, BigQuery, SQL/NoSQL, SharePoint, or SMB
• Comprehensive knowledge of Data Security Posture Management (DSPM), data classification frameworks, and AI/ML workload security principles
• Strong practical expertise in SAML/SSO, OAuth2, SCIM, RBAC, conditional access, and cloud IAM permission architectures
• Solid technical foundation in enterprise networking, private endpoints, network isolation, proxies, and Zero Trust architecture
• Basic understanding of AI/ML technologies and experience in leveraging, securing, or positioning AI-driven solutions
• Proficient in scripting and debugging using Python, SQL, REST APIs, or backend data services
• Experience in deploying and managing Zscaler solutions or similar enterprise SASE/SSE platforms
• Familiarity with using generative AI tools to enhance research, data analysis, and workflows
• Experience in architecting solutions within highly regulated frameworks or possessing relevant industry certifications is preferred
• Various health plans
• Time off options for vacation and sick leave
• Parental leave provisions
• Retirement benefits
• Education reimbursement
• In-office perks
• Hybrid working model
LTHC
Kainos
Informa
Excella
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