Role Description:
Cloud Infrastructure Architecture (AWS)
Architect, deploy, and manage scalable AWS data infrastructure including Redshift, S3, Lambda, IAM, VPC, and related services
Define and enforce infrastructure-as-code standards and CI/CD practices for all data platform components
Monitor infrastructure health, optimize performance, and drive cost efficiency across cloud resources
Ensure high availability and disaster recovery posture for all critical data systems
Manage multi-account AWS environments with cross-account IAM roles, VPC peering, and environment-specific security boundaries (dev, test, production)
Data Warehouse Design & Development
Architect and evolve the organization’s Redshift data warehouse using dimensional modeling (Kimball methodology) and star schema best practices
Architect and engineer the dbt project end-to-end: data modeling, testing, documentation, and deployment via Jenkins across development, testing, and production environments
Write complex, optimized SQL and Python to build and maintain production data models, snapshots, and incremental loads
Establish and enforce data modeling standards, naming conventions, and development workflows
Data Pipelines & Integrations
Design and build robust ELT/ETL pipelines using custom Python and managed connectors via Fivetran
Manage third-party data integrations including SaaS platforms, APIs, and partner data feeds
Implement pipeline observability, alerting, and data quality frameworks to ensure reliable data delivery
Evaluate and adopt new ingestion tools and patterns as the data ecosystem evolves
Data Security & Compliance
Own data platform security including IAM roles and policies, Redshift access controls, encryption at rest and in transit, and network security (VPC, security groups)



in partnership with Infrastructure
Ensure compliance with HIPAA, SOC 2, and applicable healthcare data privacy regulations
Conduct regular access reviews, security audits, and vulnerability assessments of the data ecosystem
Partner cross-functionally to implement and maintain data governance standards
Design, implement and maintain PII anonymization pipelines to provision protected, production-representative data to development and test environments
Identify and automate recurring compliance workflows (e.g., data deletion requests) to ensure consistent adherence to GDPR and other applicable privacy regulations at scale
Platform Reliability & Availability
Define and maintain SLAs for the data platform, proactively identifying and resolving availability risks
Lead incident response and root cause analysis for data platform outages or degraded performance
Build and maintain runbooks, architecture documentation, and operational playbooks
Lead legacy system migrations with minimal disruption, including data warehouse migrations, pipeline platform transitions, and infrastructure modernization initiatives
Technical Leadership & Collaboration
Serve as a technical mentor and escalation point for data analytics and AI/ML engineering team members
Collaborate with Data Analytics, AI/ML Engineering, Infrastructure, Product, and Software Engineering teams to align infrastructure with roadmap priorities
Contribute to architecture reviews and technology evaluations
Developer Experience & Tooling
Build and maintain internal developer tooling to automate operational tasks (e.g., permission management, environment provisioning, data sanitization)
Establish and enforce code quality standards including linting, formatting, and review workflows across data platform repositories

📌 Data Engineer - Contract (Mail at [email protected]) (Chennai)
🏢 Inspire
📍 Chennai