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Data Solutions Architect

Descrição da posição

Responsible for designing, building, and overseeing scalable data architectures that support business needs, analytics, and digital transformation initiatives.

How You’ll Contribute:

  • Build & Maintain: Own the lifecycle of our data pipelines and storage systems across cloud environments, ensuring they are scalable, secure, and high-performing.
  • Enable Teams: Work closely with developers, partners, and leadership to deliver robust data solutions and integrate best practices into the daily workflow.
  • Automate Everything: Build software services and APIs using Python frameworks to create smooth, reliable data processing and deployment experiences.
  • Continuous Improvement: Apply the correct data modeling methodologies (Kimball, Inmon, Data Vault) to solve different problems, optimizing our stack for every challenge.


Requirements

We’re Looking for Someone Who…

  • Has a Growth Mindset: You have 6+ years of experience, thrive in a fast-paced environment, and enjoy tackling complex problems across different technologies in our stack.
  • Values Collaboration: You are an excellent collaborator who believes in working seamlessly between developers, partners, and leadership toward a common goal.
  • Communicates with Clarity: You are comfortable explaining different data modelling techniques, architectures, and technical concepts to various stakeholders in English.

Your Technical Toolkit:

  • Cloud: Solid experience working in a cloud environment, with strong exposure to AWS, as well as Azure and GCP.
  • Streaming & Big Data: Hands-on experience with streaming data (Kafka or Kinesis)
  • Proprietary Open-source platforms like Snowflake, Databricks, Vertica, Spark, Airflow.
  • Programming: Deep expertise in Python, including experience organizing Python-based projects and building software services and APIs.
  • Data Modeling: Strong understanding of different data modeling methodologies (Kimball, Inmon, Data Vault).



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