Global Sustainability Data Architect

Vantage Data Centers Management Company LLC

Denver (CO)

On-site

USD 125,000 - 135,000

Full time

14 days+
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Benefits offered by this job

Medical, dental, vision
401(k) with company match
Paid time off

Job summary

Vantage Data Centers seeks a Global Sustainability Data Lead to own the design, governance, and evolution of the company’s Sustainability data ecosystem. You will build a scalable data architecture, establish a single source of truth, and enable auditable reporting for internal and external disclosures.

You will lead automated data pipelines using SQL and Python in a Microsoft-based data environment and deliver customized data solutions for customers and investors while ensuring data quality and

Qualifications

  • 7-10 years in sustainability reporting, analytics or data governance.
  • Experience designing structured sustainability data collection and reporting processes.
  • Experience moving ad hoc processes to standardized, system-driven operating models.

Responsibilities

  • Own sustainability data ecosystem design, governance, and scalability.
  • Build data pipelines in SQL/Python within a Azure-based data environment.
  • Develop datasets and semantic models for dashboards, reporting, and disclosures.
  • Ensure data quality, lineage, and auditability across geographies.
  • Collaborate with IT and business teams to integrate sustainability data across platforms.

Skills

Sustainability data governance
Stakeholder collaboration
Analytical thinking
Attention to detail

Education

Bachelor's degree
Master's degree preferred

Tools

SQL
Python
Power BI
Workiva / Watershed / Persefoni or similar

Job description

Vantage Data Centers seeks a Global Sustainability Data Lead to own the design, governance, and evolution of the company’s Sustainability data ecosystem. You will build a scalable data architecture, establish a single source of truth, and enable auditable reporting for internal and external disclosures.

You will lead automated data pipelines using SQL and Python in a Microsoft-based data environment and deliver customized data solutions for customers and investors while ensuring data quality and

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