Key Responsibilities
Architecture & Design
Design end-to-end AWS cloud architecture for ingesting, processing, storing, and serving IoT data at scale.
Architect real-time, near real-time, and batch data processing pipelines using AWS native services.
Define and enforce architecture standards, security guidelines, and best practices for cloud-native development.
Build scalable microservices and APIs to expose processed data to internal and external consumers.
IoT Data Ingestion & Processing
Design data ingestion layers using services such as:
AWS IoT Core, AWS IoT Greengrass, MQTT, Kinesis Data Streams, Kafka (MSK).
Architect and implement streaming and batch processing workflows using:
AWS Lambda, Kinesis Data Analytics, AWS Glue, AWS Step Functions, EMR, or Apache Spark.
Build faulttolerant, eventdriven data pipelines and message flows.
Data Storage & Management
Architect data storage layers optimized for speed, scale, and cost:
S3 Data Lake, DynamoDB, RDS, Redshift, OpenSearch, TimeStream (for IoT time-series data).
Implement data modeling,



schema design, data partitioning, and lifecycle management strategies.
Ensure data security, privacy compliance, and encryption across all layers.
API & Services Platform
Design and build REST and/or GraphQL APIs using:
API Gateway, Lambda, ECS/EKS microservices.
Create secure service interfaces for data consumers such as digital apps, dashboards, analytics, and OEM partners.
Implement API rate limiting, versioning, throttling, and monitoring.
Cross-Functional Collaboration
Work closely with engineering, IoT firmware teams, data science, cybersecurity, product managers, and external partners.
Translate business requirements into technical architecture and deliver high-quality solutions.

Required Skills & Qualifications
8+ years of experience in cloud architecture, with 5+ years handson in AWS.
Solid experience in designing largescale distributed systems, data pipel

📌 Aws Solution Architect Noida
🏢 Kritikal Solutions
📍 Noida