Senior Data Architect

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Requirements:

• 5 years of experience in data analytics, data science or data engineering, preferably in a SaaS platform.
• Strong communicator capable of explaining complex topics to technical and non-technical stakeholders.
• Efficient in SQL and proficient in Python programming.
• Experience in shipping large data pipelines or features using BigQuery and DBT.
• Skilled in creating data visualizations with tools like Tableau or Looker Studio.
• Familiarity with standard software engineering practices, e.g. version control.
• Staying updated with industry trends, emerging technologies, and best practices in analytics engineering.

Responsibilities:

• You’ll be the bridge between data foundation teams and enterprise analytics team.
• Design new data solutions based on business and product input.
• Translate enterprise business requirements into tailored, scalable datasets and dashboards.
• Mentor other team members and provide feedback to product and other engineering teams.
• Evaluate proofs of concept for data solutions and transform them into productionized features.
• Continuously explore and implement innovative data solutions.