Manager, Data Engineering

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.

• 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 Postgre
  
  SQL.
• 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.

• 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.
• Dev Ops for data, Git Hub, 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, Five Tran, DBT, and Collibra.

Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration…