Job Description

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 (Chennai)
🏢 Tiger Analytics
📍 Chennai