Lead Data Engineer

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."

Skills and Requirements

• 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.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].