AWS Solution Architect

IN13 Techwave Consulting India Private Ltd.; India; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Techwave is seeking an experienced Data Architect to design scalable data architectures. The role requires 15+ years in data architecture, strong knowledge of data lakes, analytics systems, and enterprise standards.

You will guide engineering teams, own HLD/LLD for data solutions, and ensure secure, scalable integrations across platforms. Proficiency in Confluent Platform, Kafka, AWS services, and data governance is essential.

Qualifications

• 15+ years of experience in data architecture and design.
• Expertise in data platforms, data lakes, and analytical systems.
• Experience defining enterprise data standards and architecture documentation.
• Strong understanding of scalability, performance, and data governance.
• Ability to translate business requirements into technical architecture.
• Enterprise solution architecture for hybrid OT/IT, streaming, lakehouse, ML and API platforms.
• Confluent Platform in a DMZ, Confluent Cloud Kafka, connectors, Schema Registry and Flink.

Responsibilities

• Design scalable, reliable, and future-ready data architectures.
• Define data standards, patterns, and reference architectures.
• Align data architecture with business requirements and enterprise standards.
• Provide architectural guidance and design reviews for engineering teams.
• Own the HLD and LLD for end-to-end PPM and Alarm Management solution.
• Review designs for scalability, resilience, latency, data lineage, auditability.
• Lead technical decisions, design reviews and integration alignment across pods.
• Own the technical response for VAPT findings and go-live conditions.

Skills

Data architecture

Data lakes

Analytics systems

Enterprise data standards

Scalability & performance

Data governance

Architecture documentation

Cloud platforms

Confluent Platform

Kafka

Security & IAM

Collaboration

Communication

Tools

Confluent Platform

Kafka

Schema Registry

Flink

AWS (S3, Glue, Lambda)

Aurora PostgreSQL

SageMaker

Athena

API Gateway

EventBridge

Grafana

Job description

Techwave, we are always in an exercise to foster a culture of growth, and inclusivity. We ensure whoever is associated with the brand is being challenged at every step and is provided with all the necessary opportunities to excel in life. People are at the core of everything we do. Who are we? Techwave is a leading global IT and engineering services and solutions company revolutionizing digital transformations. We believe in enabling clients to maximize the potential and achieve a greater market with a wide array of technology services, including, but not limited to, Enterprise Resource Planning, Application Development, Analytics, Digital, and the Internet of things (IoT). Founded in 2004, headquartered in Houston, TX, USA, Techwave leverages its expertise in Digital Transformation, Enterprise Applications, and Engineering Services to enable businesses accelerate their growth. Plus, we're a team of dreamers and doers who are pushing the boundaries of what's possible. And we want YOU to be a part of it.

Job Description Key Responsibilities

Design scalable, reliable, and future-ready data architectures. Ensure delivery of comprehensive architecture documentation (logical, physical, integration views). Define data standards, patterns, and reference architectures. Align data architecture with business requirements and enterprise standards. Provide architectural guidance and design reviews for engineering teams. Ensure consistency, scalability, and performance across data platforms. Own the HLD and LLD for the end-to-end PPM and Alarm Management solution. Define component boundaries, data flows, integration patterns, security controls and non-functional requirements. Review designs for scalability, resilience, latency, data lineage, auditability and supportability. Lead technical decisions, design reviews and integration alignment across both delivery pods. Own the technical response for VAPT findings and architecture-related go-live conditions.

Required Experience & Skills

15+ years of experience in data architecture and design. Strong expertise in data platforms, data lakes, and analytical systems. Experience defining enterprise data standards and architecture documentation. Strong understanding of scalability, performance, and data governance. Ability to translate business requirements into technical architecture. Enterprise solution architecture for hybrid OT/IT, streaming, lakehouse, ML and API platforms. Confluent Platform in a DMZ, Confluent Cloud Kafka, connectors, Schema Registry and Flink. AWS architecture using S3, Glue, Lambda, Step Functions, Aurora PostgreSQL, SageMaker, Athena, API Gateway, EventBridge, SNS, Bedrock and Grafana. Secure connectivity, IAM, KMS, Secrets Manager, Lake Formation, high availability and disaster recovery. Utility data concepts including SCADA, OSI PI, meters, schedules, forecasts, alarms, relays, IEDs and CIM.

Preferred Qualifications

Experience with cloud-based data architectures (AWS). Exposure to modern analytics and big data ecosystems.

Key Competencies

Architectural thinking and problem-solving. Documentation and governance discipline. Strong collaboration and communication skills.