Sr Data Integration Architect

You will design and implement a data strategy to merge data from various sources into a cohesive and accessible format, ensuring data accuracy, consistency, and availability across systems.

You will work closely with the client s DataOps, Data Science and business teams to ensure seamless integration across multiple platforms and will perform job functions under minimal supervision.
Responsibilities include:
To design, develop, and to maintain a scalable and efficient data architecture.
To create and manage data models for large-scale data processing and storage solutions.
To collaborate with data engineers, data scientists, business users, and to lead data architecture meetings.
To ensure data quality, security, and compliance with industry best standards.
Qualifications (Must Have):
Bachelor s or Master s degree in computer science, information technology, or a related field is required
5 years of experience modeling data from multiple SaaS endpoints
5 years (min) experience in Data Integration Architecting, including:
3 years (min) with cloud data technologies like Google Big Query or AWS Redshift
2 years (min) of experience with version control systems (i.e. Git, Azure, GitHub)
3 years (min) supporting SQL or NoSQL database systems
Strong communication and collaboration skills
Qualifications (Nice to Have):
Strong communication and collaboration skills