Data Architect

Gsinsight Consulting Services Chennai; Bengaluru; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Gsinsight Consulting Services Chennai is seeking a Data Architect (AWS) to own end-to-end architecture across AWS cloud, enterprise platforms, data ecosystems, and integrations. This is a hands-on leadership role where the architect acts as the single architectural authority, driving scalable, secure, and future-ready solutions.

The ideal candidate has 15+ years in software engineering and architecture, with 8+ years in senior roles and at least 3 Data Lake implementations on AWS.

Qualifications

• 15+ years of software engineering and architecture experience.
• 8+ years in senior/principal architect roles.
• At least 3 Data Lake implementations in production.
• Deep AWS cloud architecture expertise with data services.
• Strong ETL/ELT, data modeling and analytics knowledge.

Responsibilities

• Own enterprise-wide architecture across applications, data, and infrastructure.
• Design, build, and govern AWS-based Data Lake architectures (3+ end-to-end).
• Lead architecture for cloud-native and data-intensive platforms on AWS.
• Define data ingestion, transformation, storage, and analytics strategies.
• Ensure data governance, security, quality, and compliance across implementations.
• Drive solution architecture for cross-team initiatives.
• Remain hands-on: review designs and guide engineering teams.
• Define architectural standards, patterns, and best practices.
• Partner with senior stakeholders to align with business objectives.
• Mentor and guide senior engineers and architects.

Skills

Architectural leadership

AWS

Data Lake

Python/SQL/PySpark

CI/CD

Stakeholder mgmt

Tools

S3

Glue

Lake Formation

Athena

Redshift

EMR

Databricks

Job description

Job Title Data Architect (AWS)

Experience 15+ years (8+ years in Architect / Senior Architect roles)

Location Bengaluru / Hybrid (as applicable)

Role Summary

We are hiring a Data Architect to own end-to-end architecture across AWS cloud, enterprise platforms, data ecosystems, and integrations. This is a hands-on leadership role where the architect serves as the single architectural authority, driving scalable, secure, and future-ready solutions.

The ideal candidate must have proven experience implementing Data Lakes, with at least 3 successful Data Lake implementations delivered in production environments.

Key Responsibilities

• Own enterprise-wide architecture across applications, data, integration, and infrastructure layers.
• Design, build, and govern AWS-based Data Lake architectures (minimum 3 end-to-end implementations)
• Lead architecture for cloud-native and data-intensive platforms on AWS
• Define and execute data ingestion, transformation, storage, and analytics strategies.
• Ensure strong data governance, security, quality, and compliance across Data Lake implementations.
• Drive solution architecture for complex, cross-team initiatives.
• Remain hands-on: review designs, troubleshoot complex issues, and guide engineering teams.
• Define architectural standards, patterns, and best practices.
• Partner with senior stakeholders to align architecture with business objectives.
• Mentor and guide senior engineers and architects.

Required Skills

• 15+ years of experience in software engineering and architecture.
• 8+ years in senior/principal architect roles.
• At least 3 successfully implemented Data Lake projects in production environments.
• Deep expertise in AWS cloud architecture, including data services.
• Strong experience with Data Lake technologies (S3, Glue, Lake Formation, Athena, Redshift, EMR, Databricks, or equivalent).
• Strong understanding of ETL/ELT, data modeling, and analytics platforms.
• Distributed systems, microservices, APIs, and event-driven architectures.
• Hands-on experience with Python / SQL / PySpark.
• CI/CD, DevOps, Infrastructure as Code.
• Strong system design, scalability, performance, and reliability expertise.
• Excellent communication and stakeholder management skills.

Preferred / Nice to Have

• Multi-cloud or hybrid-cloud experience (Azure / GCP in addition to AWS).
• Experience with real-time and streaming data architectures.
• Exposure to ML/AI workloads on Data Lakes.
• AWS certifications (Solutions Architect Professional preferred).
• Experience mentoring senior engineering talent.

Why This Role

• Single owner of enterprise and data architecture
• High-impact, high-visibility role
• Ownership of large-scale Data Lake initiatives