Architect

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.