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# Lead Solution Data Architect

- **Company:** Ey Studio+ Nederland
- **Location:** Spain
- **Contract:** Permanent contract
- **Skills:** Data Architecture, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Storage Technologies, Azure Data Factory, Snowflake, Information Technology, Data Management, Data Pipelines, Databricks
- **Published:** August 11, 2026
- **Apply:** https://es.trabajo.org/oferta-4021-96f1a0d959800b017e66e696775512be

## About the Role

reference architectures, accelerators, reusable components, and bestpractice frameworks. Qualifications: - Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field. - Proven experience designing and delivering data solution architectures, ideally within cloud and modern data platform environments. - Strong background in data architecture frameworks, data modeling, data governance, and best practices for scalable data platforms. - Comfortable in client-facing roles, with strong communication and stakeholder engagement skills. - Experience in presales, including requirements discovery, solution definition, cost estimation, and supporting RFP/RFI responses. - Demonstrated ability to build proposals, lead project delivery, and manage resources (budgeting, team planning, timelines). - Prior experience in consulting, professional services, or financial services is highly valued. - Fluency in English and Spanish, both
written and spoken. - Hands-on expertise with modern data technologies such as Azure Data Services, Databricks, and Snowflake. Our commitment to diversity & inclusion We are genuinely passionate about inclusion and we support individuals of all groups; we do not discriminate on the basis of race, religion, gender, sexual orientation, or disability status. LI-HYBRID

## Description

and integration patterns. - Oversee data engineering practices including data modeling, database management, ETL/ELT pipelines, data storage, and realtime/batch integrations. - Partner with value proposition leads and consulting teams to support presales cycles, including discovery sessions, solution shaping, estimations, and RFP responses. - Build strong relationships with clients as a trusted advisor, ensuring alignment between business objectives and technical solutions. - Ensure quality control of deliverables and offerings, implementing best practices and standards. - Mentor data engineers and consultants, fostering a culture of learning and excellence. - Promote knowledge sharing and cross-team collaboration. - Collaborate closely with business stakeholders, product teams and peers to ensure cohesive and successful project outcomes. - Evaluate emerging tools, platforms, and methodologies to enhance the data and analytics offerings. - Contribute to internal assets such as


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