Enterprise Data Architect

Want a 3D Career? Join Norgine. 

At Norgine, our colleagues Dare themselves to be different and try new things, Drive to achieve their goals and beyond, and Develop themselves and their community.  

We call it the 3D career at Norgine and it offers you a fully-rounded experience with no limits.  

Bring everything about yourself that you’re proud of, whether that’s your passion for making a difference, focus on others’ well-being, or intellectual curiosity to unleash in a fast-paced environment and supportive community.  

In return, get a sense of belonging, a long-term career with ongoing development and upskilling, and a company that cares about people’s wellness as much as you do.  

Norgine: Transforming Healthcare, Backed by Over a Century of Expertise. 

We have an exciting opportunity for a Enterprise Data Architect to join Norgine.

The person holding this position will report to the Senior Director - Technology and be a member of the Data & Technology team.

The core responsibility of the of the Enterprise Data Architect is to expand the company’s use of data as a strategic enabler of corporate goals and objectives. The Enterprise Data Architect will achieve this by strategically designing, developing, and

implementing data models for enterprise-level applications and systems. These models shall be architected at the following layers: conceptual, logical, business area, and application. This individual will act as the primary advocate of data modelling methodologies and data processing best practices. The role will operate within a hybrid environment encompassing on-premise, Azure, Oracle Cloud Infrastructure (OCI), and various SaaS platforms.

This will be a permanent role. 

KEY RESPONSIBILITIES INCLUDE BUT ARE NOT LIMITED TO: 

Data and Analytics Strategy

Lead the implementation of data and analytics strategy by developing a data

insights integration approach and process aligned to key business processes

and decisions, in conjunction with data users, department managers, clients, and

other key stakeholders.

Data Architecture

Translate data and analytics strategy and vision into data architecture, defining

and implementing models, rules, and standards for design and governance, in

collaboration with Solution/ Enterprise Architects, supporting the organization's

digital transformation initiatives.

Business Requirements Identification

Elicit complex business requirements using a variety of methods, such as

interviews, document analysis, workshops, and workflow analysis, to express the

requirements in terms of target user roles and goals. Translate the business

requirements and user cases into conceptual, logical and physical data models.

Database Specifications

Approve complex database specifications, ensuring that all agreed standards

and protocols are followed and data integrity is preserved. Suggest

improvements for standards and protocols for database specifications.

Data Management

Take responsibility for developing and delivering a key element of the

organization's data management system.

Establish processes for governing the identification, collection, and use of

corporate metadata; take steps to assure metadata accuracy and validity.

Documentation and Backup

Create and maintain complex technical and/or user documentation to a high

standard, and back up files to ensure instant recovery if problems occur.

Asset Life Cycle and Interdependencies Management

Execute key digital product/service life-cycle activities, planning and aligning

with procurement and distribution and developing standard processes and

tooling requirements to support asset life-cycle management.

Technical Developments Recommendation

Discuss and recommend more complex or innovative technical developments to

improve the quality of the data software and supporting infrastructure to better

meet users’ needs.

Technology Implementation

Establish methods and procedures for tracking data quality, completeness,

redundancy, and improvement.

Operational Compliance

Maintain and renew a deep knowledge and understanding of the organization's

policies and procedures and of relevant regulatory codes and codes of conduct,

and ensure own work adheres to required standards.

Operational Risk Management

Handle the operational risk management process for specific business

operations, aligning activities with operational objectives.

• Substantial data architect experience preferably within manufacturing or pharmaceutical settings.
• Experience designing schemas and data flows for both structured and semistructured data.
• Experience with business requirements analysis, entity relationship planning, database design, reporting structures.
• Experience with cloud-native services in Azure (e.g., Synapse Analytics, Data Factory, Microsoft Fabric).
• Experience with Microsoft Purview for data governance, cataloguing, and lineage tracking.
• Experience supporting Agile project delivery and DevOps principles.
• Experience with master data management (MDM) and metadata management platforms.

Our benefits may vary per location. Please liaise with the Norgine TA representative to obtain more information.

Sound good? Find out more about the career you’ll have with Norgine, then apply here.