Data Talent Vault

Work With Data Talent To Deploy Data Talent

GDECA is a data, analytics and AI-focused services firm. As former buyers of contingent labor, Data Talent Vault was formed to solve the market inefficiency that is IT staff augmentation.

Comparison: Traditional IT Staff Aug vs. Data Talent Vault

Traditional IT Staff Augmentation

Traditional staff augmentation falls short in today's complex technological landscape. Often viewed as a linear workflow that concludes once a candidate is placed, this approach fails to address the broader organizational context.

While basic job expectations, requirements, and cultural fit are considered, traditional staffing firms rarely delve into the deeper aspects of an organization's mission and long-term objectives. They typically don't evaluate the comprehensive charter of the entire organization or strategically align talent with overarching goals.

This shortsighted approach can result in placements that meet immediate needs but fail to contribute to the company's broader vision and strategic initiatives, ultimately limiting the impact and value of the augmented staff.

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GDECA DTV Process

Data Talent Vault was born from the frustration of former IT executives who recognized a critical flaw in the tech staffing industry: recruiters often lacked the technical knowledge to effectively place data professionals. Leveraging their firsthand experience and deep understanding of the data landscape, they created a solution where data experts, not generic recruiters, drive the talent acquisition process, ensuring a perfect match between client needs and candidate capabilities.

GDECA DTV

What We Offer

  • Data Architects
  • Data Engineers
  • Dashboard Developers
  • BI Engineers
  • Data Scientists
  • AI/ML Engineers
  • Data Analysts

Why Choose GDECA

  • Collaborative Partnership: Performance management & resource misalignment collaboration
  • Transparent Negotiations: Shared compensation increases for talent retention
  • Circumvent Generic Approaches: Avoid high-volume, generalist recruitment through VMS programs

Data Talent Vault Differentiators

  • Tech-Driven: Work with data professionals, not non-technical recruiters
  • Data Expertise: Data-focused across AWS, GCP, Azure, Snowflake, and Databricks
  • Comprehensive Vetting: Experience and situation-based evaluation by engineers and architects
  • Partner-Centric Approach: Quality and relationship-focused

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