Hiring: Manager, Data Engineering Company: Valorem Reply Location: Greater Seattle Area Job Posted Time: 2026-09-15 13:13:46 Employment Type: Full-time Target Skills & Keywords : Agile, Azure, Cosmos DB, Databricks, Digital Transformation, Docker, Fivetran, GitHub, LLM, MLOps, PostgreSQL, Project Management, SQL, Spark, Systems Integration, User Experience, dbt About the job Experience: •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 Required Skills: •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 Qualifications: •Bachelor’s degree in computer science or related field •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 •Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies •Demonstrated capacity 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 •Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft Compensation: •$160,000 - $190,000 / year •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!