Data Solutions Architect

• 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

• 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.
  

• 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).