Senior Data Architect - AWS Data Platform & Governance

Phase2 Technology; Fort Worth (TX); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Medical/Dental/Vision

401(k) with matching

Educational Assistance

Ongoing training and development

Job summary

Phase2 Technology is looking for a Senior Data Architect based in Fort Worth, TX, to provide cross-domain leadership for TTI's enterprise data architecture across AWS cloud platforms. This role involves establishing data standards, mentoring junior architects, and overseeing architectural reviews for significant programs. Ideal candidates will have a strong background in data modeling, cloud data platforms, and enterprise architecture. A competitive benefits package, including 401(k) matching and professional development opportunities, is offered.

Qualifications

• 7-10+ years of IT experience, including 3-5+ years in data architecture or senior data engineering roles.
• Mastery of data modeling, governance concepts, and cloud data platform expertise.

Responsibilities

• Own and maintain enterprise data models for core domains.
• Lead architecture for key data platforms like AWS Glue and Redshift.
• Establish data standards and governance rules.
• Collaborate with teams to ensure enterprise data consistency.
• Mentor junior architects and contribute to TTI's data architecture practice.

Skills

Enterprise data architecture leadership

Cloud data platform expertise

Strategic thinking and architectural rigor

Data modeling

Cross domain collaboration

Hands on experience with Redshift

Education

Bachelor's degree in Information Systems, Computer Science or Engineering

Tools

AWS Glue

Redshift

DynamoDB

S3

Event-Bridge

Kinesis

Job description

Phase2 Technology is looking for a Senior Data Architect based in Fort Worth, TX, to provide cross-domain leadership for TTI's enterprise data architecture across AWS cloud platforms. This role involves establishing data standards, mentoring junior architects, and overseeing architectural reviews for significant programs. Ideal candidates will have a strong background in data modeling, cloud data platforms, and enterprise architecture. A competitive benefits package, including 401(k) matching and professional development opportunities, is offered.