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Data Integration Lead (VP)

Role overview

Qualifications

  • 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

Responsibilities

  • 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 the modernization of legacy ETL platforms towards cloud-native solutions

Key facts

  • Remote from: Anywhere
  • Full time
  • Senior (5-10 years)
  • English

Hard skills

Other skills

  • Mentorship
  • Governance

About the company

Q-tech logo

Q-tech

  • Staffing & Recruiting
  • 11–50
We are a tech recruitment company specialising in information technology, dedicated to connecting your team with exceptional talent in the industry. We collaborate with a diverse range of clients - from early-stage startups and growing scale-ups to established medium-sized businesses and multinational corporations (banking, retail, industry) - to identify the IT talent that brings their most ambitious projects to life. For each project, we design a tailored recruitment plan - from crafting standout job offers and selecting top candidates to providing ongoing support throughout the negotiation and onboarding process. Our headhunters speak the language of tech. That's why we have created different specialized teams focused on what matters: systems, software and product engineering, management functions, sales and marketing. If you’re looking for talent, let’s chat: cfont@q-techrec.com

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Job description

We are looking for an experienced Data Integration Lead to help shape and deliver the future-state technology landscape across global Corporate Functions.

This is a unique opportunity to lead the design and evolution of enterprise-wide data integration capabilities across cloud-native, hybrid, SaaS, and on-premise environments within a highly regulated financial services organization.

In this role, you will:

• 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 the modernization of legacy ETL platforms towards 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.

Key technologies include:

• Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Composer, Cloud Run, Cloud Functions, Kubernetes)
• Kafka and event-streaming technologies
• StreamSets, Informatica, IICS, uFlow, and orchestration platforms
• Python and modern software engineering practices
• API-led integration, microservices, real-time processing, and CDC architectures

We're looking for professionals with:

• 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
• A proven track record of technical leadership and architectural decision-making
• Experience within Banking, Asset Management, or other regulated financial services environments is highly desirable

This role is ideal for someone who can operate across both strategy and execution, influencing architecture decisions while remaining close to engineering delivery and implementation.

If you are interested, or know someone who could be a great fit, feel free to reach out directly.

#Hiring #DataIntegrationLead #DataEngineering #DataArchitecture #CloudArchitecture #GoogleCloud #GCP #BigQuery #Kafka #DataPlatforms #AssetManagement #TechnologyLeadership #DataJobs #TechCareers

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