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

Accountabilities:

• • Architect and implement Snowflake security and governance frameworks covering RBAC, functional and access role patterns, network and authentication policies, dynamic data masking, and secure access controls.
  • Design and optimize Snowflake platform economics through warehouse sizing, compute virtualization, resource monitors, query tagging, alerts, and reserved-capacity planning.
  • Implement data protection and compliance controls, including row-level access policies, column-level masking, PII tagging, and Access History auditing.
  • Manage identity and authentication infrastructure, including scalable role hierarchies, federated authentication, and Okta/SCIM integrations.
  • Build and maintain Terraform-based Infrastructure as Code to provision, standardize, and enforce governance controls across environments.
  • Develop automated access-request, approval, certification, monitoring, and compliance workflows through CI/CD pipelines.
  • Create governance monitoring capabilities that identify access anomalies, policy violations, and compliance issues in near real time.
  • Lead the technical implementation of SOX or similar compliance controls, including audit-ready reporting, evidence collection, and continuous compliance validation.
  • Architect secure data-sharing patterns across Snowflake, Iceberg, and AWS services such as S3, Athena, and Spark.
  • Support governed data orchestration using Airflow/MWAA, Lambda, and EventBridge while ensuring consistent security and governance across data engines.
  • Establish governance foundations for Snowflake AI/ML capabilities, including Cortex, Agents, and Snowpark ML.
  • Act as a technical escalation point for data governance and platform reliability issues while enabling secure self-service for engineering and data teams.
  • Drive reusable governance patterns that reduce manual effort, improve audit readiness, accelerate data delivery, and optimize platform costs.

  Requirements:

  • Strong hands-on expertise with Snowflake governance, including RBAC, row-level security, dynamic data masking, network and authentication policies, resource monitors, and Access History.
  • Proven experience with Terraform and Infrastructure as Code, with the ability to replace manual configuration processes with reliable automation.
  • Solid AWS experience, particularly with S3 storage integrations, IAM trust policies, and multi-engine cloud data architectures.
  • Experience designing scalable identity and access-management models, including federated authentication, RBAC hierarchies, and Okta/SCIM integrations.
  • Practical experience supporting SOX, SOC 2, or comparable enterprise compliance programs, including audit evidence generation and control documentation.
  • Strong data architecture knowledge, including SQL for access auditing and governance reporting, Iceberg table formats, and schema evolution.
  • Proficiency in Python or an equivalent scripting language, with experience using technologies such as Airflow, Lambda, or EventBridge.
  • Experience with modern data catalogs such as Alation, Collibra, or comparable metadata-management platforms is desirable.
  • Exposure to Snowflake AI/ML capabilities such as Cortex, Agents, or Snowpark ML and an understanding of their governance implications is an advantage.
  • Experience implementing CI/CD practices for data-platform infrastructure and governance testing, including GitHub-based workflows, is preferred.
  • Strong communication, ownership, problem-solving, and stakeholder-management skills, with the ability to translate governance policies into practical technical solutions.
  • Demonstrated ability to build enterprise data-governance practices and drive adoption and change across complex technical environments.

  Benefits:

  • Full-time position with flexible working options in Chennai or Bengaluru, India.
  • Flexible-first working culture designed to support productivity and work-life balance.
  • Opportunity to work on enterprise-scale AI-powered and data-platform technologies.
  • Professional development through mentorship, learning programs, leadership development, and education support.
  • Paid volunteer time and employee well-being resources.
  • August Free Fridays and additional programs designed to support time away and personal well-being.
  • Regionally tailored benefits and programs supporting employees and their families.
  • Opportunity to work with global, cross-functional teams on modern cloud, data, governance, and AI technologies.
  • Exposure to Snowflake, AWS, modern data architectures, Infrastructure as Code, compliance automation, and emerging AI/ML platforms.