Job Description

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 workplace-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 safe, 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