Chief Data Architecture Specialist

2 weeks ago

Dublin, Dublin City, Ireland beBeeAnalyst Full time €87,654 - €123,456
Data Analyst Role Overview

This position plays a pivotal role in shaping our data ecosystem, serving as the subject matter expert (SME) for data analysis and data element design.

Key Responsibilities:
  1. Advise on data element creation, mapping, corrections, and operational data issues as the Principal Data Analyst SME.
  2. Lead data analysis efforts to understand data flows, transformations, and dependencies across systems.
  3. Collaborate with business units and IT teams to ensure accurate data integration and transformation.
  4. Review and refine data element requirements, ensuring alignment with existing architecture and minimal disruption.
  5. Serve as a trusted advisor on data architecture, collaborating closely with engineering teams.
  6. Communicate effectively with stakeholders, translating complex data concepts into actionable insights.
  7. Guide and mentor team members on best practices in data analysis and engineering.
Qualification and Experience:
  1. A minimum of 10+ years of experience in data analysis, with a strong background in developing data schemas and engineering data elements.
  2. Proven expertise in SQL, and working with structured and semi-structured data formats such as XML and JSON.
  3. Deep understanding of columnar database architectures and performance optimization techniques.
  4. Extensive experience with Big Data platforms and technologies, including ETL pipelines, and a comprehensive grasp of the data lifecycle—from ingestion and cleansing to transformation, enrichment, and packaging.
  5. At least 6+ years of hands-on experience in Data Engineering, including building and maintaining Data Warehouses, Data Lakes, and real-time data streaming solutions.
  6. Proficiency with cloud platforms such as Google Cloud Platform (GCP) and Amazon Web Services (AWS).
  7. Demonstrated experience working in Agile environments as part of a data platform or engineering team.
  8. Hands-on experience with modern data engineering tools and environments such as Amazon Redshift, Snowflake, and Google BigQuery, ideally at enterprise scale.

As a valued member of our team, you will have the opportunity to work with a diverse group of professionals who share your passion for data analysis and engineering.

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