Jobs · Information Technology · Florida

Senior Data Warehouse Architect

Apex Systems · Fort Lauderdale, FL · 3 wk ago
Information TechnologyContract

Location: Fort Lauderdale, Florida | Type: Direct Hire

About the role

We are seeking a highly experienced Senior Data Warehouse Architect to lead the design, implementation, and evolution of our enterprise data platform. This individual will be responsible for defining the organization’s data architecture strategy, establishing best practices, and delivering scalable, secure, and high-performing data warehouse and analytics solutions across both Azure and AWS cloud environments. The ideal candidate is a strategic technology leader with extensive experience designing modern cloud-based data platforms, implementing enterprise data governance, and mentoring engineering teams. This role will partner closely with business stakeholders, application teams, data engineers, architects, and executive leadership to enable trusted, timely, and actionable data across the enterprise. Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.

Responsibilities

  • Design and maintain the enterprise data warehouse architecture and long-term data strategy.
  • Lead the architecture and implementation of modern cloud-based data platforms across Azure and AWS.
  • Develop scalable data models, ETL/ELT frameworks, and data integration standards.
  • Define enterprise architecture principles, reference architectures, and technical standards for data platforms.
  • Evaluate emerging technologies and recommend architectural improvements that align with business objectives.
  • Establish data governance, metadata management, data quality, lineage, and security standards.

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