Lead Data Engineer

This is a founding-level opportunity to own and build the organization’s data platform strategy. The company is looking for a highly technical Data Engineer who sits on the border of engineering and architecture, someone capable of providing strategic direction while remaining hands-on. The ideal candidate will help the organization modernize its data ecosystem, establish governance standards, develop reporting capabilities, and ultimately build a future data team. The hiring manager’s message to candidates is: “Come tell us what we don’t know.”

• Significant professional experience in data architecture, data management, business intelligence, analytics, or related disciplines, including responsibility for production data environments.
• Demonstrated experience designing, implementing, and maintaining modern data architectures, platforms, pipelines, transformations, and data models.
• Strong understanding of data architecture and modeling concepts, including data warehouses, data lakes, lakehouses, relational and analytical data models, and ETL/ELT approaches.
• Advanced SQL skills and hands-on experience integrating data across applications, databases, APIs, SaaS platforms, and other data sources.
• Experience with modern cloud-based data platforms and associated storage, processing, integration, and orchestration technologies.
• Demonstrated experience implementing enterprise reporting and business intelligence solutions, including reports, dashboards, analytical datasets, and reusable data models.
• Strong understanding of data quality and governance practices, including validation, reconciliation, lineage, ownership, security, and access control.
• Demonstrated ability to evaluate technologies and architectural approaches, provide technical leadership, collaborate across technical and business functions, and independently lead complex data initiatives from design through ongoing operation. -Bachelor’s degree in computer science, Information Systems, Data Engineering, or a related discipline, or equivalent professional experience.
• Experience designing and implementing enterprise data environments using major cloud, data, analytics, and business intelligence platforms.
• Experience integrating enterprise SaaS platforms, including Salesforce or comparable systems, as significant operational data sources.
• Experience with formal data governance, lineage, cataloging, master data management, or regulated data environments.
• Experience establishing or growing an organizational data, analytics, or business intelligence function.