Sr Engineer, Data Platform and Governance
New
J
JobgetherData Governance
IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- AWSPythonSQLSnowflakeAirflowTerraform
Requirements
- Strong hands-on expertise with Snowflake governance (RBAC, row-level security, dynamic data masking, resource monitors, Access History).
- Proven experience with Terraform and Infrastructure as Code for automation.
- Solid AWS experience (S3 storage integrations, IAM trust policies, multi-engine architectures).
- Experience designing scalable identity and access-management models (federated authentication, RBAC hierarchies, Okta/SCIM).
- Practical experience supporting SOX, SOC 2, or comparable enterprise compliance programs.
- Strong data architecture knowledge (SQL, Iceberg table formats, schema evolution).
- Proficiency in Python or an equivalent scripting language.
- Experience using technologies such as Airflow, Lambda, or EventBridge.
- Experience with data catalogs like Alation or Collibra is desirable.
- Exposure to Snowflake AI/ML capabilities like Cortex or Snowpark ML is an advantage.
- Experience implementing CI/CD practices for data-platform infrastructure and governance testing.
Responsibilities
- Architect and implement Snowflake security and governance frameworks covering RBAC, dynamic data masking, and secure access controls.
- Design and optimize Snowflake platform economics through warehouse sizing, resource monitors, and reserved-capacity planning.
- Implement data protection and compliance controls, including row-level access policies and PII tagging.
- Manage identity and authentication infrastructure, including Okta/SCIM integrations and federated authentication.
- Build and maintain Terraform-based Infrastructure as Code to enforce governance controls across environments.
- Develop automated access-request, approval, and monitoring workflows through CI/CD pipelines.
- Lead the technical implementation of SOX or similar compliance controls, including audit-ready reporting and evidence collection.
- Architect secure data-sharing patterns across Snowflake, Iceberg, and AWS services.
- Establish governance foundations for Snowflake AI/ML capabilities including Cortex and Snowpark ML.
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