IT Data Architect

Role Summary

This senior‑level IT Architect will lead complex data architecture projects within an enterprise environment, designing, implementing, and managing large‑scale data solutions that align with organizational strategies and security requirements. The role requires technical leadership and collaboration with both technical teams and stakeholders to optimize data workflows and infrastructure.

• Lead the design and implementation of enterprise‑wide data architecture solutions, including data lakes, data warehouses, and cloud‑based platforms.
• Develop and document current state context diagrams and data flow diagrams to understand existing data processes.
• Collaborate with stakeholders to identify and address data‑related pain points, translating business needs into technical requirements.
• Define high‑level data requirements and work with cross‑functional teams to elicit detailed data specifications.
• Design target state data architecture aligned with enterprise data strategy, ensuring compliance with information security standards.
• Create and maintain data models, database schemas, and data integration workflows to support large data volumes.
• Oversee and optimize ETL/ELT processes and data pipelines for efficiency and scalability.
• Lead the integration of new data platforms and emerging technologies, ensuring smooth implementation and adoption.
• Mentor and provide technical guidance to data engineers, analysts, and other team members.
• Collaborate with technical and non‑technical stakeholders to facilitate effective communication and project success.

• Minimum 10 years of experience designing, developing, and managing large‑scale data architectures, including data lakes, warehouses, and cloud environments.
• Extensive experience with cross‑domain data models and integrating diverse data sources.
• Proven expertise in cloud data platforms, particularly AWS S3, Iceberg, and related AWS services.
• Experience with Snowflake and Databricks is advantageous.
• Demonstrated success in leading data architecture projects and collaborating with both technical teams and business stakeholders.
• Strong verbal and written communication skills with the ability to influence decision‑making across organizational levels.
• Ability to work effectively in a team environment and guide team members on technical best practices.
• Availability to work on‑site at the designated location.

$70.00 to $79.11 per hour

Location:

Tulsa, OK (on‑site).

Employment type:

Full‑time. Seniority level:
Mid‑Senior. Job function:
Engineering and Information Technology. Industries: IT Services and IT Consulting.

This position is based in the office and requires the employee to work on‑site.