Job Summary

Senior Data Governance Engineer

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.

Job Details

Location: Remote / Hybrid

Posting Type: Full time, Technical Leadership

Reports to

Manager, Data Platform Governance

Team

Data Platform Governance Operations

Responsibilities

- 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

What You Bring

- 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr Engineer, Data Platform and Governance( Snowflake and AWS) (Chennai)
🏢 Genesys
📍 Chennai