Integration Developer

The Senior Principal Data Integration Engineer is responsible for architecting developing and maintaining real-time event-driven and API-based integrations across enterprise systems and data platforms This role requires expert-level proficiency in Python Azure Functions Azure Logic Apps Azure DevOps CI CD RESTful APIs and data connector development as well as deep experience with Azure monitoring alerting and automation The ideal candidate will design scalable secure and observable integration solutions that connect applications data lakes and analytical systems across cloud and hybrid environments Experience in life sciences clinical research or healthcare is a strong plus along with familiarity with modern integration and orchestration frameworks in AWS Lambda Airflow Step Functions Requirements Design and implement event-driven serverless data integrations using Azure Functions Azure Logic Apps and RESTful APIs Develop Python-based integration services and connectors to interface with internal systems ERP CRM CTMS EDC etc and external data sources Build and maintain real-time streaming pub sub and webhook-based data exchange mechanisms Ensure integrations are modular reusable and compliant with enterprise security standards Implement message queuing retry and dead-letter handling for fault-tolerant integrations Use Azure DevOps and Git to implement full CI CD pipelines for integration solutions Automate build testing and deployment processes using YAML pipelines and Infrastructure-as-Code templates Configure logging alerting and monitoring using Azure Application Insights Log Analytics and Azure Monitor Ensure observability across all integration services including API health performance and throughput Design and manage RESTful API interfaces and integrate with internal and external data services Develop custom connectors for Veeva Dynamics 365 Salesforce EDC or similar platforms Implement robust authentication and authorization flows OAuth 2 0 Managed Identities etc Integrate with Azure Data Factory Azure Machine Learning and Azure OpenAI Services for intelligent automation and enrichment Support data engineering and analytics teams by exposing integration endpoints or streaming data layers e g via Delta Live Tables or Event Hubs Apply best practices for error handling version control and security compliance GDPR HIPPA GxP Create comprehensive technical documentation and design diagrams Collaborate cross functionally with product system owners business analysts and data engineers to align integration designs with business objectives Bachelor s degree in Computer Science Information Systems Engineering or related field Master s preferred 5-8 years of experience in data integration automation or middleware development Expert-level proficiency in Python object-oriented and asynchronous programming Azure Functions HTTP triggers durable orchestrations binding patterns Azure Logic Apps workflow automation system integration RESTful API design and consumption Azure SQL Azure DevOps Git and CI CD pipelines Azure logging alerting and monitoring tools Application Insights Log Analytics Azure Monitor Visual Studio Code and related development tooling Custom connector development and API management Strong understanding of event-driven and real-time integration frameworks pub sub Event Grid Service Bus Kafka webhooks Working knowledge of Azure Data Factory Azure Cosmos DB Azure OpenAI Azure Machine Learning and C Experience in life sciences or healthcare industries is a plus Excellent analytical debugging and problem-solving skills Core expertise Expert-level in Python Azure Functions Azure Logic Apps RESTful APIs Azure DevOps CI CD and data connectors Integration Automation Real-time and event-driven integrations pub sub messaging webhooks and serverless workflows Monitoring Reliability Azure Application Insights Log Analytics alert rules dashboards and failure-recovery logic DevOps Deployment Azure DevOps pipelines Git branching YAML automation Infrastructure as Code Cloud DevOps Azure ecosystem ADF ADLS SQL Event Grid Service Bus optional experience with Azure ML OpenAI AWS ecosystem S3 Lambda EventBridge SNS SQS Data Governance Quality Metadata management data validation frameworks logging and monitoring Programming Tools Python REST APIs C basic Visual Studio Code Postman Soft skills Good communication mentoring Agile teamwork analytical thinking collaboration Benefits Benefits of working at Allucent include Comprehensive benefits package per location Competitive salaries per location Departmental Study Training Budget for furthering professional development Flexible Working hours within reason Leadership and mentoring opportunities Participation in our enriching Buddy Program as a new or existing employee Internal growth opportunities and career progression Financially rewarding internal employee referral program Access to online soft-skills and technical training via GoodHabitz and internal platforms Eligibility for our Spot Bonus Award Program in recognition of going above and beyond on projects Eligibility for our Loyalty Award Program in recognition of loyalty and commitment of longstanding employees Disclaimers The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent US LLC and its affiliates collectively Allucent Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency Candidates should never be submitted directly to our hiring managers employees or human resources