Assist in new business development and technical sales through development of proposals, estimation, statements of work, and requests for proposals
Contributing to and overseeing the successful delivery of data platform, analytics, and data science projects while liaising with clients to meet their needs
Providing leadership, coaching, and mentorship to team members and supporting their professional development while establishing a learning culture
Staying current on latest trends and technologies, while sharing expertise with colleagues, clients, and industry peers through speaking engagements, publications, and workshops
Defining data roadmaps at the executive level for clients and detailed planning of data and AI governance frameworks
Collaborating with project management to plan work for delivery teams and verifying quality deliverables

Bachelor’s degree in computer science or related field
12 years of industry experience, with 4 most recent years as a hands-on manager leading a team on enterprise scale data platform projects
4 years of experience in a consulting role working directly with Enterprise customers
Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL
Deep expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI
Experience setting end-to-end modern data platforms in Azure including architecture/design, ingestion, storage strategies, analytics & reporting, Apache Spark, and networking requirements
Experience establishing data management strategy for customers, including data governance, data security, master data management, and familiarity with different industry security requirements
Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies.

Manager, Data Engineering

Key skills