Senior Data Architect: Lead AI-Ready Data Platforms

GBIT (Global Bridge InfoTech Inc); Richardson (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

A leading technology company is seeking a Senior Data Architect to lead the design and implementation of scalable data platforms. This hands-on role requires over 10 years of experience, with a strong focus on data engineering and architecture. The ideal candidate will have deep familiarity with platforms like Snowflake and Databricks, excellent stakeholder management skills, and expertise in creating enterprise-scale data solutions. The role fosters innovation in AI-ready ecosystems, supporting advanced analytics and machine learning.

Qualifications

• 10+ years of overall experience, with 3+ years in data architecture and platform design.
• Strong hands-on expertise in data engineering and modern data platforms.
• Proven experience building enterprise-scale data platforms and data products.

Responsibilities

• Design and implement end-to-end modern data architectures, including data lakes and data warehouses.
• Lead hands-on development of ETL/ELT pipelines, ensuring scalability and performance.
• Architect and optimize batch and streaming data pipelines across environments.

Skills

Data engineering expertise

Stakeholder management

Technical leadership

Data modeling

Metadata management

SQL

BI and reporting tools

Education

Bachelor's or Master's degree in Computer Science, Data Engineering, or related field

Tools

Snowflake

Databricks

Azure Synapse

Job description

A leading technology company is seeking a Senior Data Architect to lead the design and implementation of scalable data platforms. This hands-on role requires over 10 years of experience, with a strong focus on data engineering and architecture. The ideal candidate will have deep familiarity with platforms like Snowflake and Databricks, excellent stakeholder management skills, and expertise in creating enterprise-scale data solutions. The role fosters innovation in AI-ready ecosystems, supporting advanced analytics and machine learning.