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Data Solutions Architect

Job description

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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