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Data Architect

4 weeks ago

Richmond, Greater London, United Kingdom RLDatix Full time

Job Title: Data Architect

Job Summary:

We are seeking a highly skilled Data Architect to design, implement and maintain our organization's data strategy. This role is pivotal in ensuring data is accessible, reliable, and secure, supporting critical business decisions for our customers.

Key Responsibilities:

  • Develop and maintain the organization's data architecture, ensuring alignment with business objectives.
  • Design and implement data models, data warehouses, and data marts to support reporting and analytics.
  • Oversee data integration processes, ensuring data consistency and accuracy across systems.
  • Collaborate with business stakeholders to understand data requirements and translate them into technical specifications.
  • Evaluate and recommend data management technologies and tools.
  • Ensure data quality and governance by implementing data standards and policies.
  • Provide technical leadership and mentorship to data engineers and analysts.
  • Stay up-to-date with industry trends and emerging data technologies.

About RLDatix:

RLDatix is a global leader in healthcare safety, providing a connected healthcare operations platform that combines software and trusted services to empower organizations with critical data insights.

What You Will Gain:

This is an excellent opportunity for you to join a global leader in healthcare safety, building up your skillset using innovative tools and technologies along the way. You will grow and develop, and be a part of an amazing international team, advancing your career further.

Experience/Knowledge You Will Need:

The candidate should ideally have the following knowledge and experience:

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Proven experience as a Data Architect with a strong track record of successful implementations.
  • Expertise in data modeling, data warehousing, and ETL/ELT processes.
  • Proficiency in SQL, Python and data visualization tools.
  • Strong understanding of cloud-based data platforms (e.g., AWS, Azure, GCP).
  • Proven experience of industry leading data platform (e.g., Databricks, Snowflake).
  • Experience with data governance and compliance regulations.
  • Excellent analytical and problem-solving skills.
  • Strong communication and interpersonal skills to collaborate with diverse teams in different global regions.