Data Architect

Data Architect 

Location: London, United Kingdom 

Every single day around the world, thousands of patients are harmed from care delivery errors, many of which are preventable. We want to change that. RLDatix is on a mission to improve healthcare by enabling a world where patients receive the best and safest care possible. Trusted by thousands of clients around the world, our connected healthcare operations platform combines software and trusted services to empower organizations with critical data insights across risk, safety, compliance, provider lifecycle and workforce management. Our user-centric approach provides a holistic, real-time view of healthcare operations, connecting disparate information across the enterprise – thus giving organizational leadership the contextualized data they need to make better informed decisions.  

RLDatix is truly global, with over 2,000 employees across the UK, Europe, Middle East, Australia, Canada, and the United States. Our strategy is fueled by organic and inorganic growth that brings together the brightest minds and the latest technology – including AI - to deliver marketing leading solutions for our clients. We are looking for people to join our team who are passionate about making a positive change in healthcare. Join us as we work towards our vision of safer, better healthcare for all. 

What You Will Do: 

The Data Architect will report to a Head of Engineering, responsible for Data and Reporting platform. 

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. The ideal candidate possesses a deep understanding and proven hands on experience of data modeling, warehousing, and integration, coupled with a strong business acumen. 

A crucial part of the role is to own, create  and maintain a master data catalogue and consolidated data mart across our portfolio of products. 

Additionally, this person will be responsible for:  

• 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. 

The role requires an individual with very strong data modelling, analysis and warehousing skills.  The role holder will be able to work across Product Engineering teams and business stakeholders to understand and consolidate different domains and business requirements. 

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: 

Essential: 

• 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. 

Desirable: 

• Advanced degree in a relevant field. 

• Certifications in data architecture or related fields. 

• Hands on experience of Databricks 

• Hands on experience of Power BI