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Data Infrastructure Architect

175 000 - 200 000$
Формат работы
remote (только USA)
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
Data Infrastructure Architect (Cloud Data Platforms): Defining and leading the architecture of an enterprise data platform across ingestion, storage, processing, governance, and consumption layers with an accent on lakehouse architectures, streaming systems, data modeling, and platform scalability. Focus on setting data infrastructure standards, implementing governance and lineage, optimizing cloud platforms, and leading complex cross-team data platform initiatives.

Location: 100% remote within the United States

Salary: $175,000–$200,000 annually

Company

hirify.global is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.

What you will do

  • Define and lead the architecture of an enterprise data platform spanning ingestion, storage, processing, governance, and consumption.
  • Set standards for data modeling, data lifecycle management, and platform architecture.
  • Partner with data engineering, analytics, ML, and business stakeholders to build a scalable data foundation.
  • Lead large data platform initiatives across multiple teams.
  • Drive governance, lineage, catalog capabilities, cloud architecture, networking, identity, and cost optimization.

Requirements

  • Must be eligible to work in the United States; U.S. citizens, Green Card holders, EAD holders, and H-1B transfer candidates are encouraged to apply.
  • New H-1B visa petitions cannot be sponsored for this position.
  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
  • At least 8 years of data engineering experience, including significant architecture experience.
  • Deep expertise in at least two major data platforms, such as Snowflake, Databricks, BigQuery, or Redshift.
  • Strong knowledge of lakehouse architectures, modern table formats, streaming systems, data modeling, governance, and production-scale Spark, Flink, or Kafka.

Nice to have

  • Experience with data mesh or data product architectures.
  • Familiarity with semantic layers such as dbt Semantic Layer, Cube, or LookML.
  • Experience in regulated industries with data residency or audit requirements.
  • Cloud or platform certifications and public talks or writing on data architecture.

Culture & Benefits

  • Full-time direct W-2 employment.
  • Remote work within the United States.
  • Career growth opportunities within an established organization.
  • Equal employment opportunity and a workplace free from harassment and discrimination.

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