AWS Solution Architect

Key Responsibilities

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

• Strong experience in designing largescale distributed systems, data pipelines, and microservices.

• Solid understanding of IoT architectures, communication protocols (MQTT, HTTP, OPC-UA), and telemetry data.

• Hands-on expertise with AWS services across compute, storage, networking, IoT, analytics, and security.

• Strong experience with Python, Java, or Node.js for cloud engineering.

• Proven experience with DevOps, CI/CD, containerization (Docker, ECS, EKS, Kubernetes).

• Excellent communication and solution architecture documentation skills.

• AWS certifications such as AWS Solutions Architect – Professional or AWS IoT Specialty are preferred.

Preferred Experience

• Experience in automotive, industrial IoT, telematics, or manufacturing systems.

• Experience with event-driven architecture, edge processing, timeseries data, or digital twins.

• Understanding of data governance, metadata management, and MDM.