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Digitribe - data solution architect

Bruxelles
DigiTribe
Architecte
Publiée le 1 novembre
Description de l'offre

Br /br /We are seeking a Data Solution Architect to help bring our data strategy to life within a Microsoft Azure ecosystem. You#39;ll play a pivotal role in translating a defined data strategy into scalable, secure, and high-performing solutions, ensuring alignment with business goals while remaining hands-on in the design and delivery process.br /br /br /This role is ideal for someone who thrives at the intersection of architecture and execution, and who brings a strong background in financial services, ideally banking, where data accuracy, compliance, and resilience are critical.br /br /br / br /br /br / br /br /br /Key responsibilitiesbr /br /br /br /br /br /br /Design and implement end-to-end data solutions on Azure, leveraging services such as Azure Data Lake, Synapse, Data Factory, Databricks, and Purviewbr /br /br /br /br /br /Translate the company#39;s strategic data vision into practical architectures and actionable delivery plansbr /br /br /br /br /br /Build and optimize data pipelines, models, and integration frameworks to support analytics, AI, and reporting needsbr /br /br /br /br /br /Collaborate with cross-functional teams to ensure robust data governance, security, and compliance (e.g., GDPR, BCBS 239)br /br /br /br /br /br /Act as a hands-on technical leader, guiding engineering teams and ensuring best practices in performance, scalability, and maintainabilitybr /br /br /br /br /br /Continuously assess emerging technologies to enhance our data platform and architecture standardsbr /br /br /br /br / br /br /br /What we#39;re looking forbr /br /br /br /br /br /br /Proven experience as a Data Solution Architect or Senior Data Engineer/Architect in the financial sector (banking experience preferred)br /br /br /br /br /br /Strong expertise in the Azure data ecosystem, including Azure Synapse, Data Factory, Databricks, Power BI, and related servicesbr /br /br /br /br /br /Solid understanding of data modeling, data warehousing, and modern data architectures (e.g., data lakehouse, data mesh)br /br /br /br /br /br /Experience implementing data governance, lineage, and security frameworks in regulated environmentsbr /br /br /br /br /br /Hands-on technical ability combined with strong communication and stakeholder management skillsbr /br /br /br /br /br /Familiarity with DevOps and CI/CD for data solutions is a plusbr /br /

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