Sr Data Architect

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

INPERSON INTERVIEWS ARE MANDATORY - NEED LOCALS

As a Senior Data Architect, you will lead the design, development, and implementation of scalable, high-performance data platforms that support advanced analytics, AI/ML, and enterprise reporting.

This is a hands-on role, combining strong data engineering expertise with architectural leadership to build modern, AI-ready data ecosystems.

You will work closely with business stakeholders, engineering teams, and analytics leaders to translate complex business requirements into robust, secure, and future-ready data solutions.

Responsibilities

• Design and implement end-to-end modern data architectures, including data lakes, lakehouses, and data warehouses.
• Lead hands-on development of ETL/ELT pipelines, ensuring scalability, reliability, and performance.
• Architect and optimize batch and streaming data pipelines across cloud and hybrid environments.
• Drive best practices for data modeling (conceptual, logical, physical) to support analytics and reporting.
• Build and manage integrations between enterprise systems, data platforms, and third-party APIs.
• Ensure data consistency, quality, and lineage across multiple sources.
• Implement metadata management, orchestration, and monitoring frameworks.
• Enable AI/ML-ready data foundations for advanced analytics, NLP, and intelligent automation.
• Support structured and unstructured data processing to enable downstream analytics use cases.
• Exposure to Ontology and Knowledge Graphs is a strong plus for semantic modeling and contextual analytics.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
• 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.
• Deep familiarity with Snowflake, Databricks, Azure Synapse, or equivalent platforms.
• Strong knowledge of SQL, data modeling, metadata management, and orchestration tools.
• Experience with BI and reporting tools.
• Solid understanding of data governance and MDM frameworks.
• Excellent communication, stakeholder management, and technical leadership skills.