Lead Data Architect
About The Position
The Lead Data Architect supports the development and execution of enterprise data architecture strategies, including data modeling, design, implementation, governance, and compliance. The role partners with senior leadership to align data strategies with business goals and collaborates across departments to integrate and harmonize data architecture. It leads complex, multi-department projects and develops strategies to improve or overhaul underperforming data architectures. The position provides guidance and mentorship to junior colleagues, establishes and enforces standards and best practices, and improves data flow and storage to meet changing business and technology needs. It evaluates and adopts data management technologies, including cloud platforms such as Azure, Google Cloud Platform, and Snowflake, and investigates advanced processing technologies such as machine learning and graph analysis. The role also works with external partners, industry experts, and technology providers to support strategic architectural roadmaps and promote innovation. The position is based in a fast-paced corporate office environment and involves collaboration with IT teams, project teams, and external vendors. Remote work may be possible depending on project needs and company policies. Caliber uses E-Verify to confirm new hires’ identity and employment eligibility. Candidates must be eligible to work in the U.S. with no restrictions.
Requirements
- 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 of successful project management and implementation of large-scale data systems.
- Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.
- 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.
- Must be eligible to work in the U.S. with no restrictions.
Nice To Haves
- Master’s degree preferred.
- Certification in Data Management (CDMP) preferred.
- Certifications in specific platforms, such as Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Analytics, or Google Professional Data Engineer, are highly regarded.
- Additional project management or leadership certifications, such as PMP or Six Sigma, are beneficial.
Responsibilities
- Support the development and execution of strategies for data modeling, design, and implementation.
- Engage senior leadership to align data strategies with business goals and strategic objectives.
- Lead the evaluation, selection, and adoption of data management technologies and tools.
- Facilitate cross-departmental collaboration to integrate and harmonize data architecture.
- Direct complex projects spanning multiple departments and data systems, ensuring integration and performance.
- Develop and implement strategies to improve or overhaul underperforming data architectures.
- Guide and mentor junior data architects and teammates on data management techniques and best practices.
- Analyze and enhance data flow and storage to address emerging business needs and technological advancements.
- Develop, refine, and enforce standards, policies, and best practices for data architecture and management.
- Establish and maintain data governance frameworks to manage and safeguard enterprise data assets.
- Ensure compliance with local, national, and international data privacy and security regulations.
- Monitor and adjust data architectures in response to changes in compliance requirements and industry standards.
- Promote adoption of platforms and technologies such as Azure, Google Cloud Platform, and Snowflake.
- Investigate and integrate data processing technologies, including machine learning algorithms and graph analysis.
- Collaborate with external partners, industry experts, and technology providers to support strategic architectural roadmaps.
- Encourage innovation and exploration of new data solutions within the data architecture team.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
