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

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/Ia C 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 Event Bridge 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 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 Event Bridge Preferred Strengths • 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: Git Hub workflows for infrastructure changes and governance testing • Enterprise data governance: Track record building governance cultures and change management at scale Business Impact • 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?