AWS Cloud Data Architect

We're looking for an AWS Data & AI Architect to design and deliver scalable data platforms and AI/ML solutions for enterprise clients. The role spans solution architecture, hands-on build, and stakeholder engagement, translating business problems into modern, cloud-native data and AI capabilities.

Key Responsibilities
Architect end-to-end data platforms (ingestion, storage, processing, governance) and AI/ML solutions on AWS
Lead technical design discussions, create reference architectures, and guide implementation teams
Drive modernization of legacy data estates to cloud-native, AI-ready architectures
Partner with business and delivery teams on solutioning, estimation, and proposals
Ensure solutions meet security, scalability, performance, and cost-optimization standards
Nice to have knowledge in Agentic AI based solution implementation using Strands and Bedrock.
Required Experience
10+ years in data architecture/engineering, with strong hands-on AWS experience
Proven track record designing production-grade data pipelines and ML/AI workloads
Strong stakeholder management and pre-sales/solutioning exposure preferred
Key AWS Services (hands-on experience required)
Data Engineering & Storage
S3, Glue (ETL/Data Catalog), Lake Formation, Redshift, EMR, Athena, Kinesis (Data Streams/Firehose), DMS, Step Functions
AI/ML
Sage Maker (training, endpoints, pipelines), Bedrock (generative AI/foundation models), Comprehend, Textract, Rekognition, Q Business/Q Developer
Core Architecture
Lambda, IAM, VPC, Cloud Formation/CDK, Event Bridge, API Gateway