Remote Data Architect - EU Remote CET

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Description:

  • As a Data Architect at SEON, you will lead data engineering projects across the product development organization and shape the technical architecture of the data stack.
  • You will be responsible for developing and implementing the overall data architecture to align with the company's business objectives and technological goals.
  • Design, build, and maintain robust, scalable, and high-performance database systems, including both SQL and NoSQL technologies.
  • Collaborate closely with engineering and product teams to design and develop data models and infrastructure for strategic projects.
  • Monitor and optimize the performance of data systems to ensure efficiency and reliability.
  • Create and maintain comprehensive documentation for data architecture, systems, and processes.
  • Stay updated with emerging technologies and industry trends to evaluate their potential impact on the company's data architecture.
  • Promote the adoption of emerging approaches to solving ML and AI problems and empower engineering teams to evaluate multiple solutions pragmatically.

Requirements:

  • 5+ years of experience in data engineering and modeling.
  • 8-10 years of experience in software engineering with increasing complexity in a software engineering team.
  • Proficiency in SQL and experience with data governance and compliance regulations preferred.
  • Technical expertise in data engineering, modeling, and business intelligence applications like PostgreSQL, Clickhouse, Elasticsearch, SnowFlake, or similar technologies.
  • Proficiency in NoSQL databases such as MongoDB, Redis, or similar technologies.
  • Experience with at least one major cloud provider (AWS preferred) and modern DevOps technologies.
  • Knowledge of modern data stack building blocks like Prefect, AWS Glue, Iceberg, MLflow, dbt, Snowflake, and others.
  • Experience managing high-impact machine learning and engineering projects in a SaaS startup/scaleup environment.
  • Practical experience in implementing machine learning models for predictive business outcomes.
  • Strong communication and collaboration skills across technical designs and product initiatives.

Benefits:

  • Competitive salary and incentive compensation structure.
  • Hybrid work model.
  • Extensive benefits package including health, dental, vision, disability, 401k with a match, etc.
  • Best-in-class tech gear provided.
  • Immediate impact on a smart, growing, global team.
  • Access to continuous development tools and a strong coaching culture.
  • Employee stock ownership plan (ESOP).
  • Generous vacation and leave policies.
  • Complimentary weekly language courses.
  • Weekly in-office lunch delivery budget.
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