We are looking for a Principal AWS Solution Architect ? Data & Analytics to serve as the technical authority and strategic leader for enterprise data platforms on AWS. This role is responsible for defining the long-term data & analytics architecture vision, establishing organization-wide standards, and guiding multiple teams and programs to deliver scalable, secure, and business-critical analytics solutions. This is a hands-on architecture leadership role, combining deep technical expertise with executive-level influence.

Role Scope & Impact

- Own enterprise-wide data & analytics architecture strategy on AWS
- Act as the final technical escalation point for complex data challenges
- Influence technology roadmap, investment decisions, and platform modernization
- Mentor Senior/Lead Architects and raise the overall architectural bar
- Partner closely with CIO/CTO, Data Office, Security, and Product leadership

Key Outcomes (Success Measures)

- Within 12?18 months, you will:
- Define and institutionalize a reference architecture for contemporary data platforms (lakehouse, streaming, analytics, ML-ready).
- Enable multiple business domains to adopt self-service, governed analytics at scale.
- Improve platform reliability,



security posture, and cost efficiency across AWS data workloads.
- Standardize architecture patterns, guardrails, and best practices adopted across teams.
- Reduce delivery risk by proactively addressing architectural debt and scalability limits.

Responsibilities

Must to have

- Enterprise Architecture & Strategy
- Define the enterprise data & AI architecture vision aligned to business strategy.
- Own architectural standards for:
- Data lakes & lakehouse platforms
- Warehousing & analytical querying
- Streaming & real-time analytics
- Metadata, governance, and data sharing
- Evaluate and recommend build vs buy decisions and new AWS services or ecosystem tools.
- AWS Data Platform Architecture
- Design and govern solutions using AWS services such as:
- Storage & Lake: Amazon S3, AWS Lake Formation, Glue Data Catalog
- Processing: AWS Glue, EMR (Spark), Lambda, Step Functions
- Analytics: Amazon Athena, Amazon Redshift (incl. Spectrum)
- Streaming: Amazon Kinesis, MSK (Kafka)
- AI - AWS sagemaker/bedrock
- Define best practices for:
- File formats (Parquet/ORC), partitioning, compression

📌 AWS Enterprise Architect (Tamil Nadu)
🏢 RARR Technologies
📍 Tamil Nadu