Genesys
Customer Experience & Contact Centers
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Be the one building AI-powered experiences where they matter most.
At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.
Help build, support and operate technology used by more than 8,000 organizations in over 100 countries – moving AI from possibility to production in real-world enterprise environments every day.
Location: Remote / Hybrid
Posting Type: Full-Time, Technical Leadership
The Senior Data Governance Engineer is the technical architect of data governance infrastructure at Genesys, responsible for building scalable, production-grade governance systems across Snowflake and AWS. You will design and implement governance-as-code, architect secure multi-tenant access control, optimize platform cost and performance, and enable self-service data access at enterprise scale.
This role bridges governance policy and platform engineering. You will own infrastructure automation, compliance automation, and platform reliability, translating governance requirements into durable, auditable systems.
Reports to: Manager, Data Platform Governance
Team: Data Platform Governance & Operations
• Design and enforce security frameworks around RBAC (functional vs. access role patterns), network policies, authentication policies, and dynamic data masking
• Architect cost optimization strategies, including warehouse sizing, compute virtualization, resource monitors, query tagging, and reserved capacity planning
• Own data masking and compliance controls, implementing row-level access policies, column-level masking, PII object tagging, and Access History audit trails
• Manage identity and authentication infrastructure, integrating Okta with Snowflake via SCIM and maintaining scalable role hierarchies
• Build and maintain Terraform/IaC configurations for provisioning and enforcing governance controls across environments
• Design automated access request, approval, and certification workflows through CI/CD pipelines
• Develop governance monitoring pipelines that surface access anomalies, policy violations, and compliance violations in real-time
• Own technical execution of SOX controls, including generating audit-ready access reports and maintaining evidence packages
• Automate compliance evidence collection and enable continuous compliance validation
• Architect secure data sharing patterns across Snowflake, Iceberg, and AWS (S3, Athena, Spark)
• Support modern data orchestration via Airflow (MWAA), Lambda, and EventBridge with governance controls
• Enable multi-engine data architectures, ensuring Iceberg tables maintain consistent governance across platforms
• Establish governance foundations for Snowflake AI & ML, including Cortex, Agents, and Snowpark ML
• Drive cost observability through resource monitors, Alerts, and query tagging frameworks
• Maintain platform reliability and self-service enablement as the technical resource for governance issues
• Snowflake mastery: RBAC design, row-level security, dynamic data masking, network/authentication policies, resource monitors, Access History
• Infrastructure as Code: Hands-on Terraform experience; ability to eliminate manual configuration
• AWS cloud platform: S3 Storage Integrations, IAM trust policies, multi-engine data architectures
• Identity and access management: Scalable RBAC hierarchies, federated authentication, Okta/SCIM integration
• Compliance automation: SOX or SOC 2 compliance program support; audit evidence and control documentation expertise
• Data architecture depth: SQL for access auditing and governance reporting; Iceberg table formats and schema evolution
• Automation & scripting: Python or equivalent; experience with Airflow, Lambda, or EventBridge
• Snowflake AI/ML: Exposure to Cortex, Agents, or Snowpark ML and their governance implications
• Modern data catalogs: Experience with Alation, Collibra, or similar metadata automation tools
• CI/CD for data platforms: GitHub workflows for infrastructure changes and governance testing
• Enterprise data governance: Track record building governance cultures and change management at scale
• Reduces audit exposure through automated, auditable governance infrastructure
• Accelerates data delivery with self-service access models and security guardrails
• Optimizes platform economics through cost controls, resource efficiency, and chargeback automation
• Enables innovation by freeing teams from repetitive manual governance tasks
Ready to own data governance at scale? Apply now or reach out to our recruiting team.
Working at Genesys
Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report.
What Happens After You Apply
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About Genesys:
Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.com.
Reasonable Accommodations:
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Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.
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