Senior Data Architect - VP
4 Staffing CorpNewark, New Jersey, United States
Posted January 5, 2026
Full Time
About the Company
4 Staffing Corp is a global staffing and recruitment firm that specializes in placing high‑skill professionals across IT, finance, engineering, and manufacturing sectors, including ERP, cybersecurity, SAP, Salesforce, and AI/ML solutions. Leveraging a proprietary candidate‑to‑job matching platform built by recruiters and IT experts, the company maintains a database of tens of thousands of pre‑qualified candidates, enabling rapid, high‑quality placements through contingency, contract, temp‑to‑perm, and RPO services. With more than two decades of experience and a worldwide affiliate network, 4 Staffing emphasizes long‑term relationships, integrity, and customer‑centric service rather than short‑term gains. Its entrepreneurial culture encourages open communication and continuous improvement, ensuring that both clients and candidates receive a personalized, value‑driven experience.
Job Description
Our client is seeking a highly skilled Senior Data Architect at the VP level with extensive experience in designing and implementing cloud-based data solutions for our financial services client.
Requirements
- Cloud-Based Data Solutions: Design and implement scalable and secure cloud-based data solutions for our financial services client, with a focus on AWS cloud platforms.
- Data Ingestion and Integration: Lead the design and development of data ingestion and integration platforms (ETL/ELT) using AWS Glue, Airflow, dbt, Matillion, and other relevant technologies.
- Data Security and Compliance: Implement data security and privacy measures in compliance with industry regulations and best practices.
- Financial Industry Expertise: Leverage your extensive experience in the financial industry to understand business requirements and design data solutions tailored to the unique needs of asset management and other financial services sectors.
- Technical Leadership: Provide technical leadership and mentorship to the data engineering team.