Lead Data Architect

Caliber Holdings•Lewisville, TX

1d•Hybrid

About The Position

The Lead Data Architect supports the development and execution of strategies for data modeling, design, and implementation, ensuring alignment with business goals. The role leads technology evaluation and adoption, cross-departmental data integration, and complex projects involving multiple departments and data systems. It also develops strategies to improve underperforming architectures and analyzes data flows and storage to meet emerging business and technology needs. The position establishes data architecture standards, policies, best practices, and governance frameworks; safeguards enterprise data assets; and ensures compliance with applicable privacy and security regulations. It champions platforms such as Azure, Google Cloud Platform, and Snowflake, and explores technologies including machine learning and graph analysis. The Lead Data Architect provides guidance and mentorship to teammates, collaborates with external partners and technology providers, and promotes innovation within the data architecture team. The role is based in a fast-paced corporate office and involves collaboration with IT teams, project teams, and external vendors. Remote work may be available depending on project needs and company policies. The employer uses E-Verify, and candidates must be eligible to work in the U.S. without restrictions.

Requirements

Expertise in data architecture and database design methodologies.
Strong leadership skills and ability to mentor junior colleagues.
Excellent communication skills, including the ability to explain technical concepts to non-technical stakeholders.
Proficiency in implementing data governance and compliance protocols.
Advanced knowledge of traditional and cloud-based database technologies.
Ability to innovate and integrate new technologies into existing data environments.
Bachelor’s degree in Computer Science, Information Systems, or a related field.
7–10 years of experience in data architecture, data management, or a related field.
Proven track record managing and implementing large-scale data systems.
Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.
Must be eligible to work in the U.S. with no restrictions.

Nice To Haves

Master’s degree.
Certification in Data Management (CDMP).
Certifications such as Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Analytics, or Google Professional Data Engineer.
Project management or leadership certifications such as PMP or Six Sigma.

Responsibilities

Support development and execution of data modeling, design, and implementation strategies aligned with business goals.
Lead evaluation, selection, and adoption of data management technologies and tools.
Facilitate cross-departmental collaboration to integrate and harmonize data architecture.
Direct complex projects involving multiple departments and data systems, ensuring integration and performance.
Develop strategies to improve or overhaul underperforming data architectures.
Provide expert guidance and mentorship on data management techniques and best practices.
Analyze and enhance data flow and storage to address business needs and technological advancements.
Develop, refine, and enforce data architecture and management standards, policies, and best practices.
Establish and maintain data governance frameworks to manage and safeguard enterprise data assets.
Ensure compliance with data privacy and security regulations and adjust architectures as requirements and standards change.
Promote adoption of platforms such as Azure, Google Cloud Platform, and Snowflake.
Investigate and integrate advanced data processing technologies, including machine learning algorithms and graph analysis.
Collaborate with external partners, industry experts, and technology providers on enterprise technology decisions and architectural roadmaps.
Promote innovation and exploration of new data solutions within the data architecture team.