Sr Engineer, Data Platform and Governance( Snowflake and AWS)

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. Senior Data Governance Engineer Location: Remote / Hybrid Posting Type: Full-Time, Technical Leadership About the Role 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 Key Responsibilities Snowflake Platform Architecture & Governance • 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 Infrastructure as Code & Automation • 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 Compliance & SOX Support • 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 Data Platform Enablement & AWS Integration • 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 Platform Maturity & Emerging Capabilities • 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   What You Bring Required Expertise • 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