KeyrusCloud

• Collaborate with clients to understand business objectives and technical requirements to translate them into effective data solutions • Lead end-to-end delivery of data initiatives: design, build, and optimize scalable data pipelines, data lakes and architectures using Databricks, Fabric, and other modern cloud tools (Snowflake, Azure Data Services, etc.) • Define architectural patterns, reusable accelerators, and modernization frameworks using Databricks, Fabric, Snowflake, Azure, DBT and emerging technologies • Provide architectural governance and oversee multiple engagements to ensure consistency, quality, and alignment with best practices. Proactively managing risks, resourcing, and margin protection • Lead and scale the data engineering practice, including capability building and setting technical standards • Contribute to technical pre-sales, shape solution offerings, and support industry-specific use-case development • Collaborate closely with our partners to align solutions, stay ahead of platform evolution, and build differentiated offerings for our clients • Manage a technical team, providing guidance, mentoring, and support to ensure successful delivery and development of team members • Enable the use and adoption of AI capabilities within existing data platforms and solutions.