Senior Data Architect

2 weeks ago

Dublin, Dublin City, Ireland beBeeData Full time €120,000 - €150,000

Unlock the Power of Data Engineering

About This Role

This key position plays a crucial part in leading the design and implementation of our next-generation data platform, shaping its architecture, scalability, and operational maturity.

As a Staff Data Software Engineer, you will be responsible for establishing engineering best practices, focusing on code quality, data reliability, and operational efficiency.

Key Responsibilities
  • Develop and enforce rigorous engineering standards, prioritizing code quality, data integrity, and operational excellence.
  • Solve complex data challenges involving ingestion, transformation, modeling, and delivery, leveraging expertise in modern data engineering principles.
  • Design and maintain robust, scalable data pipelines, supporting batch and real-time processing needs across the organization.
  • Enable efficient data access and analysis through high-performance querying and well-structured data models.
  • Explore and implement strategies to integrate GenAI and machine learning capabilities, identifying opportunities to enhance automation and insights.
  • Develop data visualization and reporting solutions that provide timely, actionable insights.
  • Implement monitoring and observability across data workflows, enabling proactive issue detection and root cause analysis.
  • Collaborate with cross-functional stakeholders to translate business problems into effective data solutions and influence product direction with data-driven insights.
Requirements
  • 8+ years of hands-on experience in data engineering, with a strong track record of building scalable and maintainable data solutions.
  • Proficiency in programming languages such as Python and SQL.
  • Strong understanding of data modeling, data warehousing concepts, and ETL/ELT design patterns.
  • Demonstrated experience in modern data platforms; Snowflake experience is a plus.
  • Practical exposure to cloud infrastructure and services (AWS preferred, but not required).
  • Familiarity with machine learning workflows and emerging GenAI technologies is an advantage.

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