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

Genesys; Chennai District; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Genesys is seeking a Senior Data Governance Engineer to design and implement scalable governance across Snowflake and AWS. You will own governance-as-code, access control, and compliance automation, enabling secure, multi-tenant data platforms for enterprise-scale usage.

You will collaborate on platform reliability, cost optimization, and self-service data access while bridging governance policy with engineering execution.

Qualifications

• Snowflake RBAC design, row-level security, dynamic data masking and access controls.
• Terraform IaC experience to provision governance configurations.
• AWS data platform knowledge including S3 storage, IAM policies, and multi-engine architectures.
• Identity and access management with Okta/SCIM integration.
• Experience with SOX or SOC 2 compliance program support and audit evidence.
• SQL for access auditing and governance reporting; data lineage is a plus.
• Automation scripting in Python and familiarity with Airflow/Lambda/EventBridge.

Responsibilities

• Design and enforce security frameworks around RBAC, data masking and access controls.
• Architect cost-optimization strategies for Snowflake and AWS resources.
• Own governance automation and CI/CD workflows for data platforms.
• Develop and maintain governance monitoring pipelines for real-time policy violations.
• Provide SOX compliance evidence and continuous validation of controls.
• Enable secure data sharing across Snowflake, Iceberg, and AWS with governance controls.

Skills

Snowflake RBAC

Data masking

Okta SCIM integration

Terraform IaC

AWS data infra

Governance auditing

Python scripting

Airflow (MWAA)

SOX compliance

SQL governance

Tools

Snowflake

Iceberg

S3

Lambda

EventBridge

Job description

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.

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 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

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

What Happens After You Apply

• 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.

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 [e-mail].

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.

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.

Genesys is an equal opportunity employer

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.