Data Engineering Manager

Location: Seattle, WA We cannot consider subcontractors for this role. U.S. Citizens, those authorized to work in the United States without sponsorship, are encouraged to apply. We are unable to sponsor or transfer visas at this time. Overview Description: We're looking for a Data Engineering Manager for a client in downtown Seattle. This is a direct-hire role that will manage owning the company’s data platform end to end – designing and running an Azure-based lakehouse that moves, transforms, and serves data across the whole company. This person will help guide the shift from Synapse to Microsoft Fabric, keeping pipelines and data models solid, and make sure everything is fast, secure, and reliable enough to power analytics and AI work. Role also involves day-to-day management of a team of data engineers – coaching, setting the technical direction, and championing a data platform vision that folks across IT, analytics, and the business can rally behind. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions. Requirements: 8+ years in IT and data systems, with at least 5 focused on data engineering or building data platforms A track record of leading and mentoring engineering teams working on cloud data platforms Hands-on depth with Azure data tools like Synapse, Data Factory, and Data Lake Storage (bonus points for Microsoft Fabric) Comfort with data modeling approaches like star schema, medallion architecture, and semantic models Real experience building ETL/ELT pipelines and transforming data at enterprise scale Some exposure to data governance tooling (Microsoft Purview) and Master Data Management concepts Enough Power BI know-how to understand how your work feeds reporting and semantic models Familiarity with Agile ways of working, plus strong communication and prioritization chops Nice-to-haves: Databricks, Delta Lake, or Spark; Azure DevOps and SQL Server; a background in ML or advanced analytics Willingness to travel regionally, be on call as needed, and a bachelor's in a technical field (or equivalent experience) Disclaimer - This job description is not intended to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice. Pay Range*: $140,000 - $190,000 per year *Subject to negotiation depending on qualifications, experience, unique skills, etc. We are an Affirmative Action/EEO Employer who values workplace diversity. Ready to apply?Great!We’re so excited to learn more about you. Once you’ve submitted your resume for consideration, we recommend you check your email (and spam folder) for a confirmation email from us. This typically goes out within one business day of your application. Can’t find that email confirmation? It’s likely ended up in your Spam folder and requires that you white-list emails from @macroccs.com so that you can receive future communications from our recruiting team. MACRO.CCS has spent the last 37 years building meaningful relationships with both clients and candidates alike. With offices located in Seattle & Los Angeles, we are industry experts delivering computer solutions, contract technical expertise, and direct-hire placement services to both public and private organizations throughout the West Coast. We are constantly looking for great people to join our team. To learn more about the work we do, technology trends we see, benefits we offer, or how your career might be enhanced by working with MACRO.CCS, visit us at www.macroccs.com. Job ID: VS577279717 Pay: $140,000.00 - $190,000.00 per year Benefits: 401(k) 401(k) matching Dental insurance Employee assistance program Health insurance Life insurance Paid time off Parental leave Professional development assistance Vision insurance Education: Bachelor's (Preferred) Experience: data systems: 8 years (Required) data engineering or building data platforms: 5 years (Required) Location: Seattle, WA 98134 (Preferred) Ability to Commute: Seattle, WA 98134 (Required) Work Location: Hybrid remote in Seattle, WA 98134