Trusted Workforce Solutions
1 - 10 employees
🤝 B2B
🎯 Recruiter
👥 HR Tech
B2B • Recruitment • HR Tech
Trusted Workforce Solutions is dedicated to empowering businesses by connecting them with the right talent and assisting job seekers in finding meaningful employment. With a focus on executive staffing and personalized job search support, the company aims to unite employers with candidates under a shared vision for success. They also offer resources for career development, including resume polishing and interview preparation, to enhance job seekers' chances in the competitive job market.
Senior Data Architect
Job not on LinkedIn
🕒 July 10, 2025
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Trusted Workforce Solutions
1 - 10 employees
🤝 B2B
🎯 Recruiter
👥 HR Tech
B2B • Recruitment • HR Tech
Trusted Workforce Solutions is dedicated to empowering businesses by connecting them with the right talent and assisting job seekers in finding meaningful employment. With a focus on executive staffing and personalized job search support, the company aims to unite employers with candidates under a shared vision for success. They also offer resources for career development, including resume polishing and interview preparation, to enhance job seekers' chances in the competitive job market.
📋 Description
• Shape the foundation of company’s data ecosystem • Design scalable, efficient data architectures • Foster collaboration and mentorship across teams • Drive innovative solutions that unlock insights • Ensure compliance with healthcare data regulations
🎯 Requirements
• Minimum of 5 years of experience as a data architect in analytical and data sciences environments • 5 years in data engineering or architectural roles • Master's degree in Computer Science or Computer Engineering with 10 years of experience, or a Bachelor's degree in Computer Science or Computer Engineering with 15 years of experience • Extensive expertise in Structured Query Language, Enterprise Data Warehouse, ELT/ETL, and data governance • Experience in programming languages (Python or Scala preferred) • Experience in database technologies such as Snowflake, BigQuery, relational, Not Only Structured Query Language, and cloud-based data platforms
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