
11 - 50 employees
🎯 Recruiter
☁️ SaaS
🤝 B2B
💰 Private Equity Round on 2006-06
Recruitment • SaaS • B2B
Recruiting. com is a recruitment platform that collects personal and non-personal information from job seekers to be used by recruiters and hiring managers. Users can submit their resumes or fill out a short form to be considered for current and future job opportunities. The site emphasizes user privacy and allows users to manage their personal data, including modifying, changing, and deleting their information. Recruiting. com securely stores user data until they request deletion, providing a comprehensive recruitment solution for both job seekers and employers.
🕒 May 5
Improve your chances of getting an interview by checking your resume score before you apply.

11 - 50 employees
🎯 Recruiter
☁️ SaaS
🤝 B2B
💰 Private Equity Round on 2006-06
Recruitment • SaaS • B2B
Recruiting. com is a recruitment platform that collects personal and non-personal information from job seekers to be used by recruiters and hiring managers. Users can submit their resumes or fill out a short form to be considered for current and future job opportunities. The site emphasizes user privacy and allows users to manage their personal data, including modifying, changing, and deleting their information. Recruiting. com securely stores user data until they request deletion, providing a comprehensive recruitment solution for both job seekers and employers.
• Responsible for designing, governing, and optimizing the enterprise data architecture • Ensure data is structured, integrated, secured, and governed for usability • Partner with executives, product leaders, data engineering, and data governance teams • Own critical architectural artifacts and mentor architects and engineers • Establish the building blocks of the organization’s data ecosystem • Architect data ingestion, transformation, storage, and distribution patterns • Evaluate and recommend data platform technologies • Partner with governance to operationalize data ownership and compliance • Publish and maintain architecture patterns and decision records • Lead POCs and reference implementations for modern patterns • Collaborate with data scientists for ML feature engineering
• Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field • 9–12 years of experience in data architecture, data engineering, or data modeling • 5–8 years architecting data structures and data platforms in cloud environments • Strong experience with conceptual/logical/physical data modeling and data integration • Demonstrated impact advancing data governance, quality, and platform modernization • Demonstrated success designing data solutions for analytics, BI, or AI/ML • Preferred Certifications CDMP, Data Modeling certifications, or cloud data certifications (Azure, AWS, GCP) • TOGAF or related architecture framework experience (desired, not required)
• medical, dental, and vision care • backup dependent care • adoption assistance • infertility coverage • family building support • behavioral health solutions • paid parental leave • paid caregiver leave • training programs • professional development resources • mentorship programs • employee resource groups • volunteer activities
Apply Now🕒 May 5
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