Caliber Collision Logo

Caliber Collision

Lead Data Architect

Posted 3 Days Ago
Be an Early Applicant
In-Office
Lewisville, TX
Expert/Leader
In-Office
Lewisville, TX
Expert/Leader
Leads enterprise data architecture strategy, modeling, governance, compliance, technology selection, and cross-departmental integration. Directs complex data-system projects, improves underperforming architectures, mentors data architects, and evaluates cloud and advanced data-processing technologies. Partners with leadership, vendors, and technology providers to align data platforms with business objectives and regulatory requirements.
The summary above was generated by AI

Service Center

CSCS TX

ESSENTIAL DUTIES:

  • Support the development and execution of architectural strategies for data modeling, design, and implementation.
  • Engage with senior leadership to ensure data strategies are well-aligned with broader business goals and strategic objectives.
  • Lead the evaluation, selection, and adoption of new data management technologies and tools.
  • Facilitate cross-departmental collaboration to integrate and harmonize data architecture across the company.
  • Direct complex projects involving multiple departments and data systems, ensuring seamless integration and optimal performance.
  • Develop and implement comprehensive strategies to improve or overhaul underperforming data architectures.
  • Provide expert guidance and mentorship to junior data architects and teammates on advanced data management techniques and best practices.
  • Analyze and enhance data flow and storage to meet emerging business needs and technological advancements.
  • Develop, refine, and enforce rigorous standards, policies, and best practices for data architecture and management.
  • Establish and maintain robust data governance frameworks to manage and safeguard enterprise data assets.
  • Ensure strict compliance with local, national, and international data privacy and security regulations.
  • Monitor and adjust data architectures to reflect changes in compliance requirements and industry standards.
  • Champion the adoption of advanced and platforms, such as Azure, Google Cloud Platform, and Snowflake, to maintain technological leadership.
  • Investigate and integrate advanced data processing technologies, including machine learning algorithms and graph analysis, to enhance analytical capabilities.
  • Collaborate with external partners, industry experts, and technology providers to ensure that enterprise technology decisions support the strategic architectural roadmaps.
  • Promote a culture of innovation within the data architecture team, encouraging exploration and implementation of novel data solutions.

KNOWLEDGE, SKILLS, AND ABILITIES:

  • Expertise in data architecture and database design methodologies.
  • Strong leadership skills with the ability to mentor junior colleagues.
  • Excellent communication skills, capable of effectively articulating technical concepts to non-technical stakeholders.
  • Proficiency in implementing data governance and compliance protocols.
  • Advanced knowledge of various database technologies, both traditional and cloud-based.
  • Ability to innovate and integrate new technologies into existing data environments.

EDUCATION, EXPERIENCE, AND OTHER REQUIREMENTS:

  • Bachelor’s degree in Computer Science, Information Systems, or a related field; Master’s degree preferred.
  • 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 like Azure, AWS, or Google Cloud Platform is essential.

CERTIFICATIONS, LICENSURES, AND LANGUAGE SKILLS:

  • 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 highly regarded.
  • Additional certifications in project management or leadership, such as PMP or Six Sigma, beneficial

PHYSICAL REQUIREMENTS:

This role primarily operates in a corporate office environment, necessitating the ability to sit and work at a computer for extended periods. Physical demands are generally minimal but may include occasional lifting of equipment or materials related to data centers.

WORK ENVIRONMENT:

The Lead Data Architect position is based in a fast-paced, dynamic corporate office setting that demands the ability to quickly adapt to changing priorities and manage multiple ongoing projects. The role involves significant collaboration with IT teams, project teams, and external vendors. There may be opportunities for remote work, depending on the specific project needs and overarching company policies.

Caliber uses E-Verify to confirm the identity and employment eligibility of all new hires. 

Must be eligible to work in the U.S. with no restrictions. 

Similar Jobs

15 Days Ago
In-Office
Senior level
Senior level
Edtech • Information Technology • Professional Services • Consulting
Leads institutional research and data operations, analyzing university data, creating executive reports and visualizations, managing databases and archival information systems, and ensuring state and federal reporting compliance. Supervises staff, oversees department hiring and development, manages budgets, supports data-driven decision-making, documents reporting processes, and develops technology enhancements. The role requires advanced SQL and WebFOCUS querying, statistical analysis, data visualization, confidentiality, and collaboration with university stakeholders.
Top Skills: Business ObjectsData MartsData Visualization ToolsPower BISisSQLStatistical Analysis ToolsWebfocus
15 Days Ago
In-Office
Expert/Leader
Expert/Leader
Fintech • Information Technology • Logistics
Leads enterprise client engagements from AI strategy through production agent deployment. Owns executive relationships, architecture direction, value cases, delivery governance, security, identity, evaluations, and human approvals. Assesses data and AI landscapes, prioritizes agent use cases, directs prototypes, makes build-versus-buy decisions, and presents delivery recommendations. Leads senior architects, engineers, and consultants while managing scope, estimation, change control, KPIs, and stakeholder decisions.
Top Skills: Agent BricksAWSDatabricksGenieGCPKnowledge GraphsMcpAzureMlflowMosaic AiOntologiesSemantic LayersUnity Catalog
Yesterday
Remote or Hybrid
United States
160K-180K Annually
Senior level
160K-180K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Lead enterprise data architecture across warehouses, data lakes, downstream applications, and AI workloads. Design data models, Medallion Architecture, ELT standards, semantic layers, APIs, access controls, and reusable datasets. Partner with business and BI teams to drive adoption, conduct architecture reviews, establish platform standards, and mentor data and analytics engineers. The role requires deep Snowflake, dbt, data modeling, pipeline, and semantic-layer expertise, with experience in AI data patterns and cloud infrastructure preferred.
Top Skills: AWSAzureDatabricksDbtDelta LakeGCPGraphQLLlmsPower BIRagRestSnowflakeSnowflake Unity CatalogTableau

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account