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:

• 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.