Data Architect

TEKsystems•Dallas, TX

2d•$125,000 - $200,000•Hybrid

About The Position

This resource designs, develops, and implements scalable, secure, and high performance data solutions, integrating source systems, data stores, interfaces, and cloud infrastructure. This role involves analyzing business requirements, creating system-level data architectures, and leveraging cloud-native technologies to optimize performance, scalability, and maintainability. The architect ensures seamless integration of enterprise-wide data while designing solutions that align with cloud best practices, including containerization, microservices, and serverless architectures. As a technical leader, the architect collaborates with cross-functional teams enterprise-wide, troubleshoots reporting, products, and data issues, and guides development teams in full-stack and cloud-native development best practices. They research emerging technologies, create reusable frameworks, document technical designs, and ensure data systems are designed for efficient deployment and management in cloud environments. This role is critical and has ultimate oversight in delivering innovative, cloud-optimized data and artificial intelligence (AI) products aligned with business goals.

Requirements

10 years of hands-on experience in data extraction, data architecture, data administration, data modeling, data management, BI, with heavy focus on data warehousing and ELT technologies.
Four-year Bachelor's degree (Computer Science, Data Science, Engineering, Information Systems, or related field); or equivalent experience.
Data Architect certification (e.g., SnowPro Advanced Architect, Microsoft Azure Data Architect, AWS Certified Solutions Architect, Google Professional Data Engineer, healthcare IT certifications).

Responsibilities

Designs, develops, and implements scalable, secure, and high performance data solutions.
Integrates source systems, data stores, interfaces, and cloud infrastructure.
Analyzes business requirements and creates system-level data architectures.
Leverages cloud-native technologies to optimize performance, scalability, and maintainability.
Ensures seamless integration of enterprise-wide data.
Designs solutions aligning with cloud best practices, including containerization, microservices, and serverless architectures.
Collaborates with cross-functional teams enterprise-wide.
Troubleshoots reporting, products, and data issues.
Guides development teams in full-stack and cloud-native development best practices.
Researches emerging technologies.
Creates reusable frameworks.
Documents technical designs.
Ensures data systems are designed for efficient deployment and management in cloud environments.
Delivers innovative, cloud-optimized data and artificial intelligence (AI) products aligned with business goals.