Manager, Data Engineering
Key Skills for This Role
Full Job Posting
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
Minimum 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
Preferred Qualifications
Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps
Knowledge and familiarity with Microsoft Purview
DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)
Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft
Experience with industry leading data tools, such as Profisee, FiveTran, DBT, and Collibra
About Reply
Publicly listed Italian digital transformation company providing consulting, system integration, and digital services to business clients.
Visit company websiteApply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer
More jobs at Reply
Project Manager, GTM Programs
Seattle, USA
SAP Finance Support Consultant
Chicago, USA
SAP Finance Support Consultant
Atlanta, USA
Services Delivery Consultant
Atlanta, USA
SAP Operations Manager
Philadelphia, USA
Services Delivery Consultant
Chicago, USA
Mid-Level Android Developer
Detroit, USA
Sr. SAP FICO Consultant
Atlanta, USA