We are seeking a Data Solution Architect to help bring our data strategy to life within a Microsoft Azure ecosystem. You'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.
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.
Key responsibilities
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Design and implement end-to-end data solutions on Azure, leveraging services such as Azure Data Lake, Synapse, Data Factory, Databricks, and Purview
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Translate the company's strategic data vision into practical architectures and actionable delivery plans
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Build and optimize data pipelines, models, and integration frameworks to support analytics, AI, and reporting needs
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Collaborate with cross-functional teams to ensure robust data governance, security, and compliance (e.g., GDPR, BCBS 239)
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Act as a hands-on technical leader, guiding engineering teams and ensuring best practices in performance, scalability, and maintainability
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Continuously assess emerging technologies to enhance our data platform and architecture standards
What we're looking for
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Proven experience as a Data Solution Architect or Senior Data Engineer/Architect in the financial sector (banking experience preferred)
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Strong expertise in the Azure data ecosystem, including Azure Synapse, Data Factory, Databricks, Power BI, and related services
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Solid understanding of data modeling, data warehousing, and modern data architectures (e.g., data lakehouse, data mesh)
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Experience implementing data governance, lineage, and security frameworks in regulated environments
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Hands-on technical ability combined with strong communication and stakeholder management skills
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Familiarity with DevOps and CI/CD for data solutions is a plus
