Manager, Data Engineering

Manager For The Data & Ai Team 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 The base compensation range for this full-time position is between $160,000 - $190,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also take into consideration prior experience, relevant skills, education and/or training, certifications and, as applicable, other required qualifications. If you have questions regarding compensation, the talent acquisition team can provide relevant details during the interview process. Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Reply