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Data Architect

Remofirst

Roles & Responsibilities

  • Proven experience designing and implementing data architectures (data warehouses, data lakes, or lakehouses) in complex environments
  • Strong knowledge of database technologies (e.g., SQL and NoSQL systems) and data modeling techniques (conceptual, logical, physical)
  • Experience with cloud platforms (AWS preferred)
  • Familiarity with big data tools and frameworks

Requirements:

  • Designing and implementing data architectures
  • Data modeling
  • Collaboration with Data Engineers and Data Analysts

Job description

RemoFirst is transforming the way businesses hire and manage global teams. Our mission is to enable Freedom of Work by providing an all-in-one global HR platform that simplifies hiring, compliance, payroll, and benefits management. We partner with some of the world’s most innovative companies, including Fortune 500 businesses and leading startups.
 
We are a small but strong team of 250+ people (and growing) hyper-focused on delivering a world-class platform and unparalleled service with our industry-leading partnerships.

As a Data Architect you will define data models, standards, and governance practices to ensure data quality, security, and consistency.

You will collaborate with international engineering, product, and design teams in a fully remote setup.

Requirements

  • Proven experience designing and implementing data architectures (data warehouses, data lakes, or lakehouses) in complex environments

  • Strong knowledge of database technologies (e.g., SQL and NoSQL systems) and data modeling techniques (conceptual, logical, physical)

  • Experience with cloud platforms (AWS preferred)

  • Familiarity with big data tools and frameworks

  • Strong understanding of data governance, data quality, security, and compliance principles

  • Experience with ETL/ELT processes and data integration tools

  • Ability to design scalable, high-performance, and cost-efficient data solutions

  • Proficiency in SQL and Python

  • Strong analytical thinking and problem-solving skills

  • Excellent communication skills and ability to work with both technical and non-technical stakeholders

    •  


Responsibilities

  • Designing and implementing data architectures

  • Data modeling

  • Collaboration with Data Engineers and Data Analysts
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