AWS Solution Architect

Job description

Title - Principal AWS Solution Architect – Data & Analytics Exp - 12 to 18 years Location- Pune, Chennai,Hyderabad,bangalore,kolkata,noida NP - Immediate to 30 Days Role Overview Job Summary 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. **Job Description** **Must Have** 1)12+ years in data, analytics, or platform engineering; 8+ years on AWS. 2)Proven experience leading enterprise-scale data & analytics architectures. 3)Deep hands-on expertise with AWS data services: S3, Lake Formation, Glue, Athena, Redshift, EMR, Kinesis/MSK 4)Enterprise Architecture & Strategy 5)Data lakes & lakehouse platforms 6)Warehousing & analytical querying 7)Streaming & real-time analytics 8)Metadata, governance, and data sharing 9)Evaluate and recommend build vs buy decisions and new AWS services or ecosystem tools. AWS Data Platform Architecture 10)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 **Good to have** 1)Security, Governance & Compliance 2)Establish enterprise-grade security architecture: IAM strategy, fine-grained data access, encryption with KMS Network isolation, private connectivity, cross-account patterns 3)Drive governance frameworks for: Data cataloging, lineage, classification, and access control Regulatory compliance (PII, financial, or industry-specific constraints) Partner with Security and Risk teams to ensure alignment with enterprise policies. 4)Reliability, Performance & Cost Excellence: Embed AWS Well-Architected Framework principles into all data solutions. Lead performance optimization and cost management (FinOps) initiatives. Define observability standards for data pipelines and analytics workloads. **Roles and responsibilities:** At the Principal level, you will: 1)Own enterprise-wide data & analytics architecture strategy on AWS 2)Act as the final technical escalation point for complex data challenges 3)Influence technology roadmap, investment decisions, and platform modernization 4)Mentor Senior/Lead Architects and raise the overall architectural bar 5)Partner closely with CIO/CTO, Data Office, Security, and Product leadership