Hybrid Manager, Data Engineering

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• Job title: Manager, Data Engineering
• Job type: Full Time
• Experience level: Senior, Lead
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Apache, Azure, Postgres, Spark, SQL, Unity
• Location requirements: Hybrid, Atlanta, United States

About the role

• Manager of Data & AI team focused on building modern data platforms using Microsoft technologies. Collaborating with clients and team members for successful delivery and governance.

Responsibilities

• 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

Requirements

• 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.

Benefits

• Equal opportunity employer
• Reasonable accommodation for disabilities