Lead Data Engineer

Required Skills & Experience

• 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.

Nice to Have Skills & Experience

•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.

Job Description

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."

150k-160k