Chief Data Architect

2 semanas atrás

Porto Alegre, Rio Grande do Sul, Brasil beBeeDataEngineer Tempo inteiro US$100.000 - US$150.000

About the Opportunity

Niche is a leading education platform that aims to make researching and enrolling in schools easy, transparent, and free. We provide comprehensive profiles on every school and college in America, 140 million reviews and ratings, and powerful search tools to help millions of people find the right school for them.

About the Role

We are seeking a skilled Data Engineer to join our data engineering team. The successful candidate will design, build, and maintain scalable data pipelines that can handle large volumes and complexities of data while ensuring accuracy, availability, security, and performance.

Key Responsibilities

  • Create and support data models, warehouse tables, and views for analysts and downstream applications.
  • Develop monitoring, lineage tracking, and alerting systems to ensure observability and quality.
  • Implement and maintain core data infrastructure and tooling, such as dbt Cloud, Airflow, RudderStack, and cloud storage.
  • Collaborate with analysts, engineers, and product teams to enable efficient data use.
  • Integrate governance and security controls, including access management and cost visibility.

Requirements

  • Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
  • 3-5 years of experience in data engineering.
  • Demonstrated experience of building and supporting large-scale data pipelines – streaming and batch processing.
  • Proficiency in Python, SQL, Snowflake, Postgres, DBT, and Airflow.
  • Experience working with Google Analytics, Marketing, Ad & Social media platform, CRM/Salesforce, and JSON data; Government datasets, and geo-spatial data will be a plus.

First Year Plan

During the first month:

  • Immerse yourself in the company culture, get to know your team and key stakeholders.
  • Start learning about our data platform infrastructure, data pipelines, source systems, and inter-dependencies.
  • Start participating in standups, planning, and retrospective meetings.

Within three months:

  • Start troubleshooting production issues, and participating in on-call activities.
  • Identify areas for improving data engineering processes, and share with the team.

Within six months:

  • Contribute consistently towards building our data platform, which includes data pipelines, and data warehouse layers.

Within twelve months:

  • Your contributions have led to us making significant progress in implementing the data platform strategy, and key data initiatives to support the company's growth.

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