Manager, Data Engineering

Job description

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies.  We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business. At Valorem Reply, we are hiring a Manager for the Data & AI team. The person will mainly focus on building modern data platforms using Microsoft cloud technologies, including Fabric and Databricks for our customers. As a technical leader, the person will assist with setting the technical direction of the practice and keep up to date with current trends in data-focused technology. The ideal candidate will have strong communication skills and serve as a trusted partner to our customers. A strong understanding of data governance and advising customers on frameworks is critical to this role. This is an exciting role for people that like collaborating across a team, enjoying flexibility/autonomy in completing work, and solving challenging problems. ### 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