Data Integration Lead – VP

🔥 0 minutes ago

🇪🇸 Spain – Remote

⏰ Full Time

🟠 Senior

👔 Vice President

👻 Ghost score 22%

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Q-tech

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 1999

🎯 Recruiter

🤝 B2B

💼 Consulting

Recruitment • B2B • Consulting

Q-tech is an IT-focused recruitment firm and headhunter service that specializes in sourcing and selecting technology professionals. The company emphasizes an agile, honest, personalized and “artisanal” selection process, focusing on quality over quantity and alignment with client needs. Q-tech reports about 25 years in business, a team of 18 consultants organized across five technical areas, ~1,500 interviews annually, and over 1,000 clients; they operate from offices in Barcelona and Madrid and handle roles ranging from cybersecurity and data to software engineering and IT leadership. They work on a contingency-style fee (charged only if a professional is hired) and promote long-term matches between candidates and companies.

📋 Description

• Define and drive the enterprise data integration architecture and roadmap • Lead strategic integration initiatives across Google Cloud Platform, enterprise services, and business-critical applications • Design scalable integration patterns covering batch, real-time, event-driven, API-led, and CDC-based architectures • Drive modernization of legacy ETL platforms toward cloud-native solutions • Establish architecture standards, reusable frameworks, and best practices for data movement and integration • Provide technical leadership, governance, and design assurance across large-scale transformation programs • Mentor engineering teams and promote excellence in DevOps, CI/CD, automation, observability, and platform modernization • Influence architecture decisions while remaining close to engineering delivery and implementation

🎯 Requirements

• 10+ years of experience in Data Integration, Data Engineering, ETL, or Integration Architecture • Strong cloud architecture experience, particularly within GCP environments • Expertise in streaming data platforms and event-driven architectures • Experience operating in complex hybrid-cloud ecosystems • Proven track record of technical leadership and architectural decision-making • Experience within Banking, Asset Management, or other regulated financial services environments is highly desirable • Experience with Google Cloud Platform, including BigQuery, Dataflow, Pub/Sub, Cloud Composer, Cloud Run, Cloud Functions, and Kubernetes • Experience with Kafka and event-streaming technologies • Experience with StreamSets, Informatica, IICS, uFlow, and orchestration platforms • Python and modern software engineering practices • Knowledge of API-led integration, microservices, real-time processing, and CDC architectures

🏖️ Benefits

• No benefits or compensation extras are specified in the posting