Lead Solution Data Architect

About us At 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. What We Offer Join 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. Key Responsibilities - Act as the technical lead and trusted advisor for data platform strategies solution design and guiding clients through architectural decisions. - Guide teams in data modeling database management ETL/ELT 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 reference architectures accelerators reusable components and bestpractice frameworks. Qualifications - Bachelors or Masters 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. #LI-HYBRID