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Data Architect Specialist

3 weeks ago

Galway, Galway, Ireland Evernorth Ireland Limited Full time
Job Description">

We are seeking a highly skilled Enterprise Data Modeller to join our team at Evernorth Ireland Limited.

About Us

Our mission is focused on making the prediction, prevention, and treatment of illness and disease more accessible to millions of people. We work with the right talent in our innovation hub in Ireland to expand our global footprint, improve our competitive stance, and deliver on our promises to stakeholders.

We are passionate about making healthcare better by delivering world-class solutions that make a real difference.

Position Overview

An enterprise Data Modeler will design, develop, and optimize data models that support our organization's data architecture and business objectives.

Responsibilities
  1. Design, develop, and optimize data models that support our organization's data architecture and business objectives.
  2. Collaborate with cross-functional teams to ensure alignment with business goals and long-term scalability.

Requirements

  • 7+ years of experience in data modelling and developing enterprise-wide data strategies.
  • Exposure to petabyte scale data sets.
  • Undergraduate degree in Computing or Information Systems or related field.
  • Post graduate qualification highly desirable.

Technical Competencies

  • Data Modelling Techniques - Expertise in conceptual, logical, and physical data modeling using tools like ERwin, PowerDesigner, or Visio.
  • Database Management - Deep knowledge of relational (SQL) and NoSQL databases such as PostgreSQL, MySQL, MongoDB, and Cassandra.
  • Data Warehousing & ETL - Experience with data warehousing solutions (e.g., Databricks, Snowflake, Redshift, BigQuery) and ETL processes.
  • Data & Cloud Platforms - Familiarity with cloud-based data solutions (AWS, Azure, GCP) and big data technologies (Hadoop, Spark).
  • Data Governance & Security - Understanding of data privacy, compliance (US Healthcare, HIPAA, etc), encryption, and role-based access control.
  • Metadata & Master Data Management (MDM) - Experience in structuring and maintaining high-quality metadata and master data.
  • MongoDB Modelling Techniques - Experience modelling data for mongodb, embedding versus references, when and why.

Desired Skills

  • Advanced Data Modelling - Understanding of advanced data modelling topics such as semantic modelling and knowledge graphs.
  • Data Analysis & Interpretation - Ability to assess data quality, identify inconsistencies, and propose optimization strategies.
  • Performance Optimization - Skills in indexing, partitioning, and query tuning to enhance database efficiency.
  • Business & Domain Knowledge - Understanding industry-specific data requirements (e.g., finance, healthcare, e-commerce).
  • Troubleshooting & Debugging - Ability to diagnose issues within complex data pipelines and architectures.