Cloud Data Architect

2 weeks ago


San Francisco, California, United States Brex Full time

**Transform Raw Data into Actionable Insights**

Brex is a forward-thinking company that leverages AI-powered spend management to help businesses make informed decisions. As a Data Engineer at Brex, you will be responsible for designing and implementing scalable data models and pipelines that drive business growth.

You will work closely with Data Scientists, BI Analysts, and Business teams to develop efficient data models, pipelines, and analytics frameworks. This involves collaborating on data needs, translating them into robust data solutions, and maintaining high-quality data documentation and definitions.

**Responsibilities**

  • Design and implement scalable data models and pipelines that meet the evolving needs of our services, products, and company changes.
  • Work with cross-functional teams to understand data needs and develop tailored data solutions.
  • Ensure accurate data delivery for data science and reporting applications through high-quality data documentation and definitions.
  • Develop and integrate data sources to enhance data-driven initiatives across the company.
  • Apply best practices in data management to guarantee reliable and robust data usage across analytics applications.
  • Establish and promote company-wide data standards regarding structure, quality, and expectations.
  • Facilitate effective collaboration between technical and non-technical teams to ensure data solutions align with business objectives.

**Required Skills and Experience**

  • At least 3 years of experience in Data Engineering, Data Analytics, or a related field.
  • Proven expertise in working with modern data transformation tools like DBT.
  • In-depth knowledge of databases and SQL with the ability to efficiently stage, process, and transform data.
  • Hands-on experience integrating and orchestrating data workflows with various modern data tools and systems.
  • Background in data modeling, ETL/ELT processes, and data warehousing solutions.
  • Experience working with a data warehouse such as Snowflake.
  • Proficiency in a data workflow orchestrator tool such as Airflow.
  • Strong programming skills in languages like Python.
  • Familiarity with BI tools like Looker, Tableau, or similar platforms.
  • Outstanding quantitative and analytical skills.
  • Excellent communication and collaboration skills.
  • Willingness to work in an office environment 2 days a week on Wednesday and Thursday.

**Salary Range:** Estimated salary range of $120,800 - $151,000, depending on factors like location, skills, experience, and market demands. Equity and other forms of compensation may be included based on the position offered.



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