Data Integration Lead – VP

Q-tech

. Define and drive the enterprise data integration architecture and roadmap .

Posted 9/30/2026full-timeRemote • SpainSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining enterprise data integration architecture and driving modernization of ETL platforms to cloud-native solutions. Proven ability to lead strategic initiatives, mentor teams, and influence architectural decisions within complex hybrid-cloud ecosystems.

Highest-signal resume keywords

Data Integration ArchitectureGoogle Cloud Platform (GCP)Streaming Data PlatformsTechnical LeadershipEvent-Driven Architectures

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringETLCloud-Native SolutionsAPI-Led IntegrationMicroservicesReal-Time ProcessingCDC ArchitecturesPythonDevOpsAutomation

Soft Skills

MentoringGovernanceCollaboration

Tools & Technologies

BigQueryDataflowPub/SubCloud ComposerCloud RunCloud FunctionsKubernetesKafkaStreamSetsInformatica

Industry Keywords

BankingAsset ManagementRegulated Financial Services

Tech Stack

Tools & technologies

BigQueryCloudETLGoogle Cloud PlatformInformaticaKafkaKubernetesMicroservicesPython

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

No benefits or compensation extras are specified in the posting