Senior Data & Integration Architect Job Description The ideal candidate is a senior integration engineer/architect who remains hands-on while providing architectural and technical leadership. The candidate should be comfortable moving between code-level troubleshooting, solution design, production-readiness assessment and client conversations. Experience Typically, 8 years of software, backend or integration engineering experience. At least 3-5 years of experience designing or leading event-driven and API-based enterprise integrations. Prior experience functioning as a Technical Lead, Integration Lead, Senior Backend Engineer or Solution Architect is strongly preferred. Technical Stack Programming: Python, SQL, REST APIs Data Platforms: Snowflake, relational databases, data modeling Integration: Salesforce, enterprise system integrations, API integrations Data Engineering: Dataiku, ETL/ELT, data quality, data validation Cloud: AWS AWS Services: API Gateway, Lambda, SQS, DynamoDB, CloudWatch, IAM, Secrets Manager Architecture: Event-driven architecture, microservices, asynchronous processing, concurrency, scalability, fault tolerance Testing: pytest, unit testing, functional testing, contract testing, integration testing, automated validation frameworks DevOps: CI/CD, deployment automation, monitoring, logging, production troubleshooting Engineering: API design, performance optimization, idempotency, error handling,



distributed systems Key Responsibilities Develop event-driven, asynchronous and distributed system integrations. Design and develop scalable Python-based APIs and integration services. Define source-of-truth, data ownership and conflict-resolution rules across participating systems. Design and review REST APIs, webhooks, event-processing services and Snowflake data components. Ensure that integrations correctly handle duplicate events, simultaneous updates, out-of-order events and partial failures. Implement or guide the implementation of idempotency, retry, timeout, dead-letter and replay mechanisms. Evaluate system behaviour under concurrent processing and high transaction volumes. Develop monitoring, logging, alerting and reconciliation controls to identify records that are out of sync. Guide and mentor junior engineers through solution design, development, troubleshooting and deployment. Partner with business analysts to translate conceptual requirements and business rules into implementable technical designs. Lead technical discussions with clients and clearly communicate architectural decisions, risks, dependencies and trade-offs. Create and maintain architecture diagrams, interface specifications, data contracts and operational documentation. Support production troubleshooting, root-cause analysis and continuous platform improvement.

📌 Architect (Tamil Nadu)
🏢 Tiger Analytics
📍 Tamil Nadu