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3 дня назад

Manager, Engineering, Enterprise Data Platform

225 000 - 260 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Manager, Engineering, Enterprise Data Platform (Data Engineering/AI): Leading the development and optimization of enterprise data pipelines, large-scale data models, and cloud data architectures with an accent on data quality, governance, scalability, and AI/ML capabilities. Focus on defining the data engineering roadmap, guiding architectural decisions, integrating AI-driven solutions, and developing a high-performing engineering team.

Location: Seattle, Washington, United States; expected to work in the office 5 days a week.

Annual base salary: $225,000–$260,000; target annual bonus: 15%.

Company

hirify.global, a Morningstar company, provides data and technology solutions that support investment research, business analysis, and data-driven decision-making.

What you will do

  • Lead, mentor, retain, and develop a team of data engineers.
  • Define the data engineering roadmap and align platform priorities with enterprise strategy and business objectives.
  • Guide architecture decisions for scalable, secure, and reliable enterprise data platforms.
  • Oversee data pipelines, ELT/ETL workflows, large-scale data models, and enterprise data assets.
  • Lead AI learning initiatives and integrate AI/ML-driven solutions into data products.
  • Partner with technology, product, sales, marketing, research, finance, and administration teams to improve data capabilities, performance, governance, and cost efficiency.

Requirements

  • Bachelor’s or Master’s degree in Computer Science or Engineering.
  • 8+ years of experience in data engineering.
  • 2+ years of experience managing technical teams.
  • Must be authorized to work in the United States without current or future visa sponsorship.
  • Advanced SQL and Python skills, with experience in cloud data platforms, data orchestration, distributed messaging, and enterprise data architectures.
  • Strong knowledge of data governance, quality, lineage, compliance, communication, and stakeholder management.

Nice to have

  • Experience with Snowflake, AWS, Azure, GCP, Airflow, Kafka, Docker, CRM, ERP, marketing automation, or financial systems.
  • Hands-on experience with AI/ML platforms, model deployment, or data-driven automation.
  • Experience building high-performing teams and leading through organizational change.

Culture & Benefits

  • In-person collaboration in a standard office environment with limited corporate travel.
  • Comprehensive health, dental, vision, disability, accidental death, and life insurance benefits.
  • Paid vacation, sick, volunteer, family, and paternity leave, plus a sabbatical program after four years.
  • Annual educational stipend, tuition reimbursement opportunities, CFA exam stipend, and professional training programs.
  • 401(k) matching, employee stock ownership, transportation stipend, dependent care FSA, emergency childcare, employee resource groups, and team events.

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