Vanguard
Vanguard
„Vanguard“ yra pasaulinė investicijų valdymo bendrovė, investuotojams siūlanti tokius produktus kaip investiciniai fondai ir biržoje prekiaujami fondai. Jos veiklą grindžia ilgalaikis dėmesys pagalbai klientams siekti investavimo sėkmės, daug dėmesio skiriant sąžiningumui ir investuotojų interesų iškėlimui į sprendimų priėmimo centrą. „Vanguard“ kultūroje vertinamas komandinis darbas, įtrauktis ir įvairių požiūrių bei patirčių indėlis.

Senior Data Engineering Manager at Vanguard, Charlotte Hybrid

Lead Vanguard’s enterprise data engineering teams and platforms, shaping scalable pipelines, governance, and data products. Set engineering roadmaps and partner across the business to deliver data solutions.

Aprašymas

  • Guide managers, technical leads, and engineers, supporting their growth and performance.
  • Develop engineering leaders and build a high-performing team culture.
  • Set performance expectations, coach team members, and help them advance their careers.
  • Oversee enterprise data products and platforms from planning through delivery and ongoing management.
  • Set priorities and lead execution of data product roadmaps and engineering initiatives.
  • Direct the creation of scalable data pipelines, platforms, and frameworks.
  • Define and uphold practices for data quality, governance, and observability.
  • Work with senior leaders and cross-functional partners to shape data strategy and operating models.
  • Assess and adopt modern data technologies and architectural approaches.
  • Contribute to special projects and carry out other assigned responsibilities.

Reikalavimai

  • At least ten years of business or technical experience, including people management and data expertise.
  • An undergraduate degree, or an equivalent combination of training and experience.
  • Background leading data engineering teams and delivering scalable data solutions.
  • Experience working with business and technical stakeholders to establish requirements and deliver data solutions.
  • Ability to turn business needs into data engineering solutions or products.
  • A record of delivering data initiatives in complex or ambiguous settings.
  • Experience with current data engineering tools, cloud platforms such as AWS, and modern data architectures.
  • Experience with data lakes, real-time processing, and platforms such as Databricks.
  • Practical or leadership experience in data modeling, data quality, and data management.
  • Visa sponsorship is not available for this position.

Privalumai

  • Hybrid work that supports flexibility, in-person learning, collaboration, and connection.
  • Opportunities for career growth and learning.
  • A focus on long-term financial wellbeing.

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