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9 дней назад

Data Warehouse & Analytics Architect

180 000 - 220 000$
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

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TL;DR
Data Warehouse & Analytics Architect (Data Privacy): Designing, building, and operating mission-critical data warehouses, lakehouses, and analytics applications at scale with an accent on architecture, SRE, reliability, and secure data processing. Focus on leading architectural decisions, improving technical health, mentoring engineers, and deploying scalable data infrastructure across cloud environments.

Location: Remote in the United States; role associated with Washington, DC

Salary: $180,000–$220,000 per year

Company

hirify.global develops data protection applications and the Trusted Data Format open standard to enable secure, private, and controlled data sharing for enterprises and government agencies.

What you will do

  • Lead architecture and design reviews for scalable data warehouses, lakehouses, databases, and analytics applications.
  • Design, deploy, and operate data infrastructure and analytics services across cloud environments.
  • Create and maintain architectural documentation, including Architecture Decision Records, design documents, and technical specifications.
  • Improve reliability, performance, security, technical health metrics, and technical debt across data storage, processing, and SRE systems.
  • Provide technical direction, contribute code to critical components, conduct architecture-focused code reviews, and support end-to-end delivery.
  • Mentor engineers and collaborate with Engineering Managers, product management, UX, architects, and SRE teams on roadmaps and cross-team dependencies.

Requirements

  • At least 7 years of experience in data warehousing, databases, data processing, or analytics.
  • Strong knowledge of cloud data warehouses such as BigQuery, Redshift, Synapse, or Snowflake.
  • Strong experience with lakehouse platforms, data modeling, columnar storage, and batch and stream processing architectures.
  • Deep experience with SRE principles and practices, including reliability, automation, scalability, and observability.
  • Experience with Terraform, Kubernetes, CI/CD pipelines, DevOps practices, and monitoring tools such as Datadog, Prometheus, or Grafana.
  • Demonstrated architectural leadership, technical mentoring, cross-team influence, stakeholder management, and clear technical communication.

Nice to have

  • Experience architecting Microsoft 365 add-ins with attention to security, performance, and user experience.
  • Knowledge of data privacy, encryption, and zero-trust security models.
  • Contributions to open-source projects or involvement in technical communities.

Culture & Benefits

  • Flexible PTO plus 14 holidays, with a strong emphasis on wellbeing and work-life flexibility.
  • $1,500 annual learning and development stipend.
  • Medical, dental, vision, parental, bereavement, and employee assistance benefits.
  • 401(k) contribution, 3% retirement contribution, and stock options.
  • Inclusive workplace focused on diversity, belonging, and psychological safety.
  • Company-sponsored team celebrations, Headspace access, and structured semi-annual 360-degree performance reviews.

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