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

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

AI at enterprise scale – Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year.

A flexible-first culture – Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work.

Growth in the AI era – Build future-ready skills through mentorship, learning programs, leadership development and education support.

Time to recharge and give back – Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families.

Recognized globally – Genesys is Great Place to Work® certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.

Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report.

What Happens After You Apply

After you apply, here's what you can typically expect:

Our Talent Acquisition team reviews your application with the hiring team.

A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview.

Next, you'll meet the hiring manager and other members of the interview team.

We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases.

After interviews are complete, our team will follow up with the final steps.

Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process.

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About Genesys:

Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. Genesys CloudTM is the Agentic Orchestration Platform that securely connects people, systems, data and AI across the enterprise with built-in governance and control. 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.ai.

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.

Please note that recruiters will never ask for sensitive personal or financial information during the application phase.