Chief Data Solutions Architect

2 weeks ago

Warsaw Kraków, Czech Republic beBeeData Full time €85,000 - €115,000

Job Opportunity:

We are seeking a Senior Data Engineer to lead the design, implementation, and optimization of our modern data infrastructure.

This role will have a strong focus on enabling analytics through clean data modelling, automation, and observability – empowering domain teams with trusted, self-serve data products.

Key Responsibilities:

  • Design robust ELT pipelines using Python, Spark, and dbt, processing structured and semi-structured data (e.g., JSON, Parquet).
  • Automate ingestion and transformation layers while enforcing data contracts, quality rules, and schema validation.
  • Build reusable, testable modules to reduce development effort and improve standardization.
  • Own the semantic layer using dbt for transformation and modelling in Snowflake, including SCD and dimensional designs.
  • Develop curated, documented, and test-covered data models that serve as trusted sources for analytics and reporting.
  • Enable self-service analytics by partnering with analysts and product teams to understand data needs and deliver scalable solutions.
  • Establish CI/CD pipelines using GitHub Actions, integrating testing, linting, and automated deployment for dbt and data pipelines.
  • Set up monitoring and alerting for pipeline health, SLA breaches, and data quality metrics.
  • Implement practices for lineage tracking, documentation, and incident resolution.
  • Partner with data analysts, scientists, and engineers to design efficient data flows and interfaces.
  • Contribute to architectural decisions, roadmap planning, and tool evaluations.
  • Mentor team members and champion engineering excellence through peer reviews, documentation, and shared learning.

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