The company sells, delivers, and supports data management and manufacturing SaaS.
The company is struggling to identify and hire top-tier talent for highly technical roles, such as engineering leads, data engineers, and data architects. The challenge lies in effectively interviewing and vetting candidates to ensure they have the right expertise and leadership capabilities. Without a strong hiring process, the company risks delays in building a high-performing data management team, which could impact overall business efficiency and innovation. To address this, the company is looking for a fractional Head of Data Engineering—a senior professional with at least 8 years of experience in building and managing data teams—who can step in to refine the hiring strategy and ensure the best talent is brought on board. This role is open to candidates from any location.
The fractional executive leveraged deep industry expertise to streamline the hiring process, ensuring the selection of top-tier talent for engineering and data roles. By implementing a strategic interviewing and vetting framework, they helped the company identify candidates with the right technical skills and leadership potential, prioritizing those with industry-recognized certifications like the Databricks Data Engineer Certification to validate their expertise and alignment with the company’s data strategy. The fractional helped hire 10 data experts with Databricks knowledge, enabling the company to expand its service offerings and reach more clients.
The fractional executive leveraged deep industry expertise to streamline the hiring process, ensuring the selection of top-tier talent for engineering and data roles. By implementing a strategic interviewing and vetting framework, they helped the company identify candidates with the right technical skills and leadership potential, prioritizing those with industry-recognized certifications like the Databricks Data Engineer Certification to validate their expertise and alignment with the company’s data strategy. The fractional helped hire 10 data experts with Databricks knowledge, enabling the company to expand its service offerings and reach more clients.
The fractional executive optimized the hiring process by implementing a strategic vetting framework, ensuring top talent selection while prioritizing certified expertise like the Databricks Data Engineer Certification.