Senior Data Architect for Time-Series & Data Platforms

Federal Reserve Bank of New York

St. Louis (MO)

On-site

USD 140,000 - 170,000

Full time

14 days+

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Benefits offered by this job

Generous paid time off
Tuition & training assistance
401(k) match
Top-notch health care benefits
Flexible work environment

Job summary

The Federal Reserve Bank of New York seeks a Data Architect in St. Louis. This role involves leading the design and modernization of the data architecture for economic data platforms. The ideal candidate will have over 7 years of experience in data architecture and have expertise in cloud data platforms.

Responsibilities include creating scalable data architectures, improving data processing frameworks, and ensuring governance and data security. A flexible work environment and competitive salary of $140k-$170k are offered.

Qualifications

  • 7+ years of experience in data architecture or large-scale enterprise cloud data implementations.
  • Deep understanding of modern data technology stacks.
  • Experience leading adoption of industry best practices in DataOps or data governance.
  • Outstanding communication and collaboration skills.

Responsibilities

  • Define and evolve the target data architecture.
  • Design scalable storage architectures for billions of observations.
  • Implement scalable data processing frameworks.
  • Improve indexing and metadata strategies.

Skills

Data architecture
Data engineering
Cloud data platforms
DataOps
Data governance
SQL
Data modeling
Machine learning
Communication

Education

Relevant industry certifications

Tools

AWS
Data storage technologies
Data catalog platforms

Job description

The Federal Reserve Bank of New York seeks a Data Architect in St. Louis. This role involves leading the design and modernization of the data architecture for economic data platforms. The ideal candidate will have over 7 years of experience in data architecture and have expertise in cloud data platforms.

Responsibilities include creating scalable data architectures, improving data processing frameworks, and ensuring governance and data security. A flexible work environment and competitive salary of $140k-$170k are offered.

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