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Architect (Data)

114 000 - 165 300$
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 Architect (Cloud/Data Platforms): Designing and modernizing Empower’s cloud and data architecture with an accent on scalable, secure, and cost-optimized platforms. Focus on building data-intensive solutions, defining reusable architecture patterns, and applying streaming, integration, governance, and responsible GenAI practices.

Location: Remote - Nationwide, United States. Applicants must be authorized to work for any employer in the U.S.; visa sponsorship, including CPT/OPT sponsorship, is not available.

Base salary: $114,000–$165,300 per year, with potential participation in a bonus program.

Company

hirify.global is a financial services company focused on helping customers achieve financial freedom through technology and financial products.

What you will do

  • Shape solution architectures aligned with the unified IT data strategy in partnership with enterprise architects, business stakeholders, and engineering teams.
  • Document target-state and reference architectures, roadmaps, dependencies, reusable patterns, and architectural decisions.
  • Design and support modernization and migration of complex systems to scalable, secure, and cost-optimized cloud architectures.
  • Evaluate and prototype emerging technologies, including Generative AI and advanced analytics, and translate experimentation into delivery recommendations.
  • Establish architectural standards, governance, security, resilience, scalability, and integration practices across data platforms.
  • Guide full-stack and delivery teams through solution design and implementation to improve performance, reliability, and long-term cost outcomes.

Requirements

  • Bachelor’s or master’s degree in computer science, information systems, mathematics, software engineering, or equivalent experience.
  • At least 5 years of experience delivering data-intensive solutions in data engineering, analytics engineering, data platforms, BI, or related areas.
  • At least 1 year of solution design ownership for moderately complex initiatives, including architectural trade-offs and implementation guidance.
  • Experience across multiple data-focused roles, such as data engineering, ETL/ELT, data architecture, database administration, BI, analytics engineering, data science, or data governance.
  • Expertise in data and cloud architecture, preferably AWS, with experience in platforms such as Snowflake or Redshift.
  • Knowledge of architecture frameworks, performance optimization, availability, caching, monitoring, scalability, security, and communicating decisions across distributed teams.

Nice to have

  • Experience with ETL/ELT pipelines, orchestration, data quality, batch and near-real-time workloads, Kafka or Kinesis, and event-driven architectures.
  • API-first data access, integration governance, Spark-based platforms, data security and privacy, FinOps, CI/CD, infrastructure as code, Kubernetes or EKS.
  • Applied AI and GenAI patterns for retrieval, evaluation, monitoring, and responsible adoption.
  • Java, microservices, third-party API integrations, or AWS Certified Solutions Architect certification.

Culture & Benefits

  • Flexible remote work environment with support for work-life balance, well-being, inclusion, and internal mobility.
  • Medical, dental, vision, and life insurance.
  • 401(k) retirement plan with company matching contributions of up to 6%.
  • Tuition reimbursement of up to $5,250 per year.
  • Paid time off, company and floating holidays, paid volunteer time, parental leave, disability benefits, and FMLA programs.
  • Business Resource Groups supporting inclusion and collaboration.

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