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Senior data architect

Experis It
Data architect
Posted: 23 October
Offer description

Job Description – Data Architect Role Overview We are seeking an experienced Data Architect to collaborate with stakeholders and design innovative, scalable, and high-performance data solutions. The role involves shaping enterprise-wide data architectures, developing strategies and governance frameworks, and ensuring solutions align with business objectives and technology strategies. You will play a key role in communicating data findings, building integrations, and delivering real-world value through modern data capabilities. Key Responsibilities Partner with stakeholders to understand requirements, conduct discoveries, and design data-driven solutions that are scalable, performant, and resilient. Clearly and concisely communicate data architecture, strategies, and findings to both technical and non-technical audiences. Apply data architecture principles to solve complex challenges, including the design and implementation of enterprise-wide data architectures aligned with business and IT strategies. Define and implement data strategies, governance frameworks, and operating models (spanning technology, people, and processes). Design and maintain data models (conceptual, logical, and physical) across databases, data lakes, and warehouses. Enable data integration with diverse systems and platforms via APIs and middleware, covering structured, semi-structured, and unstructured data sources. Contribute to the productionisation of new data capabilities through discovery, prototyping, requirements definition, and implementation. Deliver measurable customer value by ensuring solutions are tailored to business context and operational needs. Qualifications & Skills Technical Expertise Proven hands-on experience with data platforms such as Azure, AWS, and Informatica. Strong knowledge of data modelling techniques (e.g., Kimball, Star Schema, Data Vault). Proficiency with cloud-native and DataOps solutions (Azure/AWS stack, event streaming with Azure Event Hubs, Kafka). Experience in Big Data solutions (Hadoop, Cassandra). Understanding of compliance frameworks (e.g., GDPR, ISO 22701 ) and industry methodologies (e.g., TOGAF, DAMA ). Skilled in architecture and design tools (Visio, Draw.io, Archi, SparxEA). General Skills Eligible for Security Clearance. 5 years of experience in data-focused roles, including 2 years in data architecture (public and/or private sector). Strong leadership and mentoring abilities; able to support pre-sales and practice growth. Proactive, self-starter with excellent problem-solving and communication skills. Actively engaged with data standards, open-source communities, or industry forums .

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