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

Jobgether; India; On-site; INR 4,000,000 - 9,000,000; Full time

Benefits offered by this job

Flexible working options (Chennai/Beng

Professional development & mentorship

Education support & learning programs

Volunteer time & well-being resources

August Free Fridays

Job summary

Jobgether is seeking a Sr Engineer, Data Platform and Governance (Snowflake and AWS) based in India. The role focuses on building scalable, secure data governance infrastructure, turning policies into automated systems and enabling secure self-service data access.

You will architect governance across Snowflake, Iceberg, and AWS, manage IaC with Terraform, and lead compliance and audit readiness across enterprise data platforms. This position offers flexible working options in India.

Qualifications

• Strong hands-on expertise with Snowflake governance including RBAC, row-level security, dynamic data masking, networks and authentication policies.
• Experience with Terraform and IaC to automate configurations.
• Solid AWS experience, especially S3 integrations and IAM policies.
• Experience designing scalable IAM models with federated authentication and RBAC hierarchies.
• Experience supporting SOX/SOC 2 or similar compliance programs with audit evidence.

Responsibilities

• Architect and implement Snowflake security and governance frameworks (RBAC, masking, policies, access controls).
• Design Snowflake platform economics: warehouse sizing, monitors, and cost optimization.
• Implement data protection and compliance controls including auditing.
• Manage identity infrastructure with federated auth and Okta/SCIM integrations.
• Build Terraform-based IaC to provision governance controls across environments.
• Develop automated access-request, approval, certification, and monitoring workflows.
• Create governance monitoring for policy violations and real-time alerts.
• Lead SOX/compliance controls including audit-ready reporting and evidence collection.
• Architect data-sharing patterns across Snowflake, Iceberg, and AWS services.
• Support governed data orchestration with Airflow/MWAA, Lambda, EventBridge.
• Establish governance foundations for Snowflake AI/ML capabilities.

Skills

Snowflake governance

Terraform

AWS (S3, IAM)

Identity & access management

CI/CD for data platforms

Python scripting

Snowflake AI/ML governance

Security & compliance controls

Tools

Snowflake

Terraform

Airflow/MWAA

Lambda

EventBridge

Okta/SCIM

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr Engineer, Data Platform and Governance (Snowflake and AWS) based in India. This is a senior technical leadership opportunity focused on building scalable, secure, and production-grade data governance infrastructure.
You will architect governance solutions across Snowflake and AWS while turning policies and compliance requirements into automated engineering systems.
The role combines cloud data platforms, infrastructure as code, identity management, security, compliance, and platform reliability.
You will enable secure self-service data access while improving cost efficiency, auditability, and operational resilience.
Working across data, cloud, security, and engineering stakeholders, you will help establish governance standards that can operate effectively at enterprise scale.
You will also contribute to modern data architectures involving Iceberg, Airflow, Lambda, EventBridge, and emerging AI/ML capabilities.
This role is ideal for an experienced engineer who enjoys solving complex platform challenges and creating durable, automated governance foundations.

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.