ppDescripción del trabajo /p h3About us: /h3 pAt EY wavespace - AI Data CoE, we are a diverse, multicultural team at the forefront of technological innovation, working with cutting-edge technologies like Gen AI, AI ready Data, robotics, etc. Our center is dedicated to exploring the future of AI and Data. /p h3What We Offer: /h3 pJoin our AI Data CoE, where you will play a key role in shaping and delivering complex data initiatives within a highly collaborative and forward-thinking environment. You will work hands-on with advanced data engineering practices and cutting-edge technologies, driving scalable solutions that enable strategic insights across the business. In this role, you will influence architecture decisions, mentor team members, and contribute to the evolution of our data capabilities. /p h3Key Responsibilities: /h3 ul liAct as the technical lead and trusted advisor for data platform strategies, solution design and guiding clients through architectural decisions. /li liGuide teams in data modeling, database management, ETL/ELT, and integration patterns. /li liOversee data engineering practices including data modeling, database management, ETL/ELT pipelines, data storage, and realtime/batch integrations. /li liPartner with value proposition leads and consulting teams to support presales cycles, including discovery sessions, solution shaping, estimations, and RFP responses. /li liBuild strong relationships with clients as a trusted advisor, ensuring alignment between business objectives and technical solutions. /li liEnsure quality control of deliverables and offerings, implementing best practices and standards. /li liMentor data engineers and consultants, fostering a culture of learning and excellence.



/li liPromote knowledge sharing and cross-team collaboration. /li liCollaborate closely with business stakeholders, product teams and peers to ensure cohesive and successful project outcomes. /li liEvaluate emerging tools, platforms, and methodologies to enhance the data and analytics offerings. /li liContribute to internal assets such as reference architectures, accelerators, reusable components, and bestpractice frameworks. /li /ul h3Qualifications: /h3 ul liBachelor's or Master's degree in Computer Science, Information Technology, Data Science, Engineering, or a related field. /li liProven experience designing and delivering data solution architectures, ideally within cloud and modern data platform environments. /li liStrong background in data architecture frameworks, data modeling, data governance, and best practices for scalable data platforms. /li liComfortable in client-facing roles, with strong communication and stakeholder engagement skills. /li liExperience in presales, including requirements discovery, solution definition, cost estimation, and supporting RFP/RFI responses. /li liDemonstrated ability to build proposals, lead project delivery, and manage resources (budgeting, team planning, timelines). /li liPrior experience in consulting, professional services, or financial services is highly valued. /li liFluency in English and Spanish, both written and spoken. /li liHands-on expertise with modern data technologies such as Azure Data Services, Databricks, and Snowflake. /li /ul h3Our commitment to diversity inclusion /h3 pWe 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. /p p#LI-HYBRID /p /p #J-18808-Ljbffr

📌 Lead Solution Data Architect - Ai Data Coe (Madrid)
🏢 WomenTech Network
📍 Madrid