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9 дней назад

Architect, Data Engineering

130 000 - 170 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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
Architect, Data Engineering (Data Architecture/AI): Leading the design and implementation of modern data architectures, scalable data and ML pipelines, and advanced analytical solutions with an accent on Lakehouse, DataOps, Data Mesh, governance, and cloud platforms. Focus on architecting client solutions, leading technical teams, mentoring engineers, and building enterprise data lakes, statistical models, and production data products.

Location: Addison, Texas, United States. Hybrid model with three days in person and two remote days per week; consulting travel may average 10%–30% annually and reach up to 80% on some projects.

Salary: $130,000–$170,000 per year.

Company

hirify.global is a global consulting firm delivering technology, data, AI, and customer experience solutions as part of Omnicom Precision Marketing.

What you will do

  • Lead teams implementing modern data architecture, data engineering pipelines, and advanced analytical solutions.
  • Design and implement Lakehouse, DataOps, Data Mesh, cloud data platforms, and enterprise data lakes.
  • Architect and model technical solutions, scope and estimate workstreams, and manage technical backlogs and release tools.
  • Build scalable data and machine learning pipelines, statistical models, data products, and integration solutions.
  • Act as the technical lead in client communications and contribute to business development with existing and prospective clients.
  • Mentor junior project team members and lead design sessions.

Requirements

  • Minimum five years of hands-on experience building, optimizing, and implementing data pipelines and architecture.
  • Experience leading teams to wrangle, explore, and analyze data for business decisions.
  • Strong communication, interpersonal, leadership, client-facing, and mentoring skills.
  • Deep understanding of data governance and data privacy best practices.
  • Experience with programming languages such as Python, Spark, Java, C++, or Scala; SQL and NoSQL databases; workflow tools; streaming systems; data warehouses; MLOps; containers; and metadata management.
  • Experience with data platforms on AWS, Google Cloud Platform, or Azure, plus a relevant degree in computer science, engineering, mathematics, management information systems, or a related field. Applicants must be authorized to work in the United States without employment-based visa sponsorship.

Culture & Benefits

  • Hybrid work with flexibility to coordinate in-person days and schedules with project teams.
  • Health, mental health, vision, dental, life, prescription, fertility, adoption, disability, and flexible spending benefits.
  • Paid parental leave, paid time off, 14 paid holidays, community service days, and matching 401(k).
  • Opportunities for professional growth, expanded responsibilities, and variable compensation eligibility at senior levels.
  • Travel is planned with consideration for individual preferences, with most projects designed to minimize extensive travel.

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