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

Reposted 5 Hours Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software
The Role
Designs and operates enterprise data governance infrastructure across Snowflake and AWS. Responsibilities include RBAC, authentication, masking, row-level security, compliance automation, Terraform provisioning, access workflows, monitoring, SOX evidence, data sharing, Iceberg governance, orchestration, cost optimization, and Snowflake AI/ML governance. The role also supports platform reliability, self-service data access, and scalable identity integration using Okta and SCIM.
Summary Generated by Built In

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 ResponsibilitiesSnowflake 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 BringRequired 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 EventBridge

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: GitHub 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? 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.


Stay Connected

Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.

Get notified about relevant opportunities.


Be the one building what's next - where AI, experience and impact come together.

Employee Referral

If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral.


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:

If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at [email protected].


You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.

 

This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation—such as application follow-ups or resume submissions—may not receive a response.


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.

Skills Required

  • Snowflake expertise, including RBAC, row-level security, dynamic data masking, network and authentication policies, resource monitors, and Access History
  • Hands-on Terraform and infrastructure-as-code experience
  • AWS cloud platform experience, including S3 storage integrations, IAM trust policies, and multi-engine data architectures
  • Identity and access management experience with scalable RBAC hierarchies, federated authentication, and Okta/SCIM integration
  • SOX or SOC 2 compliance program support, including audit evidence and control documentation
  • SQL experience for access auditing and governance reporting
  • Experience with Iceberg table formats and schema evolution
  • Python or equivalent scripting experience
  • Experience with Airflow, Lambda, or EventBridge
  • Exposure to Snowflake Cortex, Agents, or Snowpark ML governance
  • Experience with Alation, Collibra, or similar metadata automation tools
  • GitHub workflows for infrastructure changes and governance testing
  • Track record building enterprise data governance cultures and change management at scale

Genesys Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Genesys and has not been reviewed or approved by Genesys.

  • Strong & Reliable Incentives Annual bonuses are described as consistently funded and meaningful, elevating total compensation. Structured variable pay and regular payouts reinforce confidence in incentives across numerous roles.
  • Leave & Time Off Breadth Open (unlimited) PTO, volunteer time off, and company recharge days create flexible time-away options. Remote-friendly policies and occasional holiday shutdowns add to the sense of generous time off.
  • Parental & Family Support Paid parental leave with no waiting period, fertility support, and adoption assistance signal strong family-oriented benefits. These offerings stand out as modern and comprehensive within the package.

Genesys Insights

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The Company
HQ: Menlo Park, CA
6,774 Employees
Year Founded: 1990

What We Do

Every year, Genesys® delivers more than 70 billion remarkable customer experiences for organizations in over 100 countries. Through the power of the cloud and AI, our technology connects every customer moment across marketing, sales and service on any channel, while also improving employee experiences. Genesys pioneered Experience as a Service℠ so organizations of any size can provide true personalization at scale, interact with empathy, and foster customer trust and loyalty. This is enabled by Genesys Cloud™, an all-in-one solution and the world’s leading public cloud contact center platform, designed for rapid innovation, scalability and flexibility. Visit www.genesys.com.

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