Data Architect - Finance

We are Reckitt

Home to the world's best loved and trusted hygiene, health, and nutrition brands. Our purpose defines why we exist: to protect, heal and nurture in the relentless pursuit of a cleaner, healthier world. We are a global team united by this purpose. Join us in our fight to make access to the highest quality hygiene, wellness, and nourishment a right and not a privilege.

​Information Technology & Digital​

In IT and D, you'll be a force for good, whether you're championing cyber security, defining how we harness the power of technology to improve our business, or working with data to guide the innovation of consumer loved products.

Working globally across functions, you'll own your projects and process from start to finish, with the influence and visibility to achieve what needs to be done. And if you're willing to bring your ideas to the table, you'll get the support and investment to make them happen.

Your potential will never be wasted. You'll get the space and support to take your development to the next level. Every day, there will be opportunities to learn from peers and leaders through working on exciting, varied projects with real impact. And because our work spans so many different businesses, from Research and Product Development to Sales, you'll keep learning exciting new approaches.

About the role

A Data Architect, within Reckitt known as Data Product Manager, plays a crucial role in designing data products infrastructure to extract, organize, and manage data for authorized individuals within an organization. They collaborate with department heads, business users, analyze data available and create and maintain data models. If you’re passionate about data modeling, database design, and you know what Data Mesh concept and FAIR principle are, this role might be a great fit for you! 

Your responsibilities

• Identify Core Data Elements & Entities. 
• Be responsible for data products architecture: create and design every aspect of a database, including conceptual and logical data models and data flow diagram using a diagram drawing tool. 
• Understand, document, and maintain the data lineage for given data products in scope. 
• Be the F.A.I.R. Guardian - ensure that data is Findable, Accessible, Interoperable and Reusable. 
• Identify areas for improvement in current data products. 
• Create documentation for existing data products in scope of a given area. Retrofit existing data products to be complaint with company standards documentation wise. 
• Identify data duplication between existing data platforms and design new data models to deduplicate common datasets. 
• Make sure that the data products are properly catalogued and follow the definition of done principles. 
• Collaborate with other Data Product Managers to work on the cross-domain data sharing, identify the needs of other products and make sure data contracts are in place. 
• Keep the confidential data secure by identifying the security rules & requirements and working with Solution Architecture Team on implementing them. 
• Collaborate with senior Stakeholders to understand the Business needs and improve existing data models. 
• Be part of a Data Governance chapter and collaborate with the larger team within the Data and Analytics department. 
• Work closely with the squad (Data Engineers, Scrum Masters and Business Analysts) to make sure data products are being built as per architectural design. 

The experience we're looking for

• 8+ years of experience with 4-6 years working with Data Business analysis or Data & Analytics products. 
• Data management skills. 
• Experience with Microsoft Azure tech stack (Databricks, ADO, ADF). 
• Understanding of Data Mesh concept and F.A.I.R. principle. 
• Knowledge and understanding of Data Layers (Medallion Architecture) and Kimball Dimensional Modelling. 
• Data modelling skills (conceptual & logical data models, defining keys and dimentional vs transactional tables relations, normalized vs denormalized data). 
• Understanding of PowerBI, basic SQL/R/Python skills to be able to query the tables. 
• Superior analytical skills and attention to detail. 
• Creative problem-solving abilities and unconstrained thinking approach. 
• Ability to work in a high paced, dynamic environment, change management skills. 

The skills for success

Data & Analytics, F.A.I.R. Principle, Medallion Architecture, Azure, Databricks, SQL, ADO, ADF, Data Mesh, Data Platform, Data Architecture, Data Modelling, Kimball Dimensional Modelling, Product Development, Project Management, Product Management, Design Thinking,  Change Management, Value Analysis, Adoption Analysis, Stakeholder Relationship Management, Outstanding Communication