Description:
About the Role
We are seeking a highly specialized Senior Data Integration Engineer to design, build, and maintain robust, scalable integrations across a complex enterprise ecosystem. This role focuses on enabling seamless system-to-system data flows, ensuring high availability, and providing real-time access to data across legacy, cloud, and SaaS platforms.
You will act as a subject matter expert in enterprise data movement and virtualization, bridging the gap between disparate technologies while ensuring integration reliability, governance, and performance at scale.
Key Responsibilities
Integration Architecture & DesignDesign and implement complex enterprise integration patterns, including API-led connectivity, event-driven architectures, and batch ETL
• Architect scalable, secure, and resilient system-to-system data flows across heterogeneous environments
• Develop reusable integration frameworks and enforce enterprise integration standards
• Collaborate with enterprise architects and business stakeholders to align integrations with strategic objectives Pipeline Development & Real-Time Data Movement
Build and maintain high-throughput ETL/ELT pipelines using Qlik Talend (Cloud or On-Premise)
• Implement and optimize log-based Change Data Capture (CDC) and low-latency replication using Qlik Replicate
• Support zero-downtime migrations and real-time streaming integrations
• Perform complex data mapping, transformation, validation, and reconciliation across source and target systems
• Optimize performance and ensure scalability of integration pipelines Data Virtualization & System Connectivity
Leverage Denodo (or similar platforms) to create enterprise data virtualization layers for real-time data access without physical movement
• Design and implement semantic layers and virtual data services
• Integrate diverse platforms including on-premise databases, legacy mainframes, cloud data warehouses, and SaaS applications (e.g., Salesforce, Workday, SAP)
• Design and consume REST and SOAP APIs and manage integrations across multiple protocols (SFTP, JDBC, messaging queues) Reliability, Governance & Leadership
Implement robust error handling, monitoring, logging, and alerting mechanisms
• Ensure data integrity, security, and high availability of integration services
• Enforce governance standards including data lineage, metadata management, and compliance controls
• Provide technical leadership, define coding standards, and promote best practices in integration design
• Mentor junior engineers and support continuous improvement within integration teams
Requirements & Qualifications
Must-Have Skills & Experience:
• 6+ years of professional experience in data integration, ETL development, middleware administration, or ente