Enterprise Data Architect

Enterprise Data Architect

Barcelona (Hybrid role 3 days ofice/2 days home office)

Competitive Salary + Benefits

Join our Global Enterprise Architect (GEA) Team, where we support the global development of AstraZeneca's data products. We work closely with teams across Business Technology Group (BTG – Business Unit) IT teams, Research and Development, data governance teams, and SET Area (Line of Business) Data Offices (SEDO). Our worldwide enterprise data architecture (EDA) practice operates inside the GEA, providing vital designs, patterns, reference architecture and framework and services centred on the ingestion, extraction, processing, transformation, transport, storage, data visualization, data security and representation of knowledge.

Accountabilities:
As an Enterprise Data Architect, you will be responsible for undertaking and delivering coherent strategic and tactical architectural thinking data architectures, data strategies, and data governances. You will envision data pipelines and how data will flow through the AZ enterprise landscape. You will also maintain a repository of all data architecture procedures and artifacts, evaluate current data management technologies and determine upgrades and improvements to current data architectures.

- Responsible for undertaking and delivering coherent strategic and tactical architectural thinking data architectures, data strategies, and data governances.
- Create an inventory of the data necessary to build and implement a data architecture.
- Envision data pipelines and how data will flow through the AZ enterprise landscape.
- Responsible for architecture and technology evangelization, architecture roadmap, and alignment.
- Maintain a repository of all data architecture procedures and artifacts.
- Evaluate current data management technologies and what additional tools are needed.
- Determine upgrades and improvements to current data architectures.
- Design, document, build and implement database architectures and applications.
- Build data models for database structures, analytics, and AI applications.
- Develop and enforce database development standards.
- Integrate new systems and functions like security, performance, scalability, reliability, and data recovery.
- Research new opportunities and create methods to acquire data.
- Gain approval from the various stakeholders, business unit key people across AZ.
- Develop measures that ensure data accuracy, integrity, and accessibility.
- Continually monitor, refine, and report data management system performance.
- Drive across teams, time zones and articulate data architecture, data strategy and data visions.

Essential Skills/Experience:
- Bachelor’s Degree or equivalent number of years of experience in a Computer Science or Data Management related field!
- Experience in framing and delivering enterprise data architecture/master and reference data management architectural thinking, and its practical application.
- Experience in the use of conceptual and logical data modelling technologies.
- Experience in defining and working with Enterprise and data regulatory governances.
- The role holder will possess a blend of data architecture/data design, analysis, and engineering skills.
- Experience in known industry IT architectural patterns and IT architecture ways of working/methodologies.
- Understands Data Platforms concepts and cloud-based containerization strategies for hybrid cloud environments.
- Understanding the appropriate data structure and technology based on business use case and completely familiar with data lifecycles.
- Data visualization, data migration and data modelling.
- Relational database management systems
- DBMS software, including SQL Server
- Database and cloud computing design, architectures, and data lakes.
- Hadoop technologies like Pig, Hive and MapReduce.
- Information management and data processing on multiple platforms.
- Agile methodologies and enterprise resource planning implementation.
- Machine learning, predictive modelling, and natural language processing.
- Data mining and modelling tools.

Desirable Skills/Experience:
- Experience in a data architect role with practical examples of crafting and providing data engineering/architectural blueprints that have been implemented.
- Experience in Agile data definition scrums.
- Experience in the use of tooling, e.g. metadata cataloguing tools, data modelling tools, EA tools.
- Understanding of, or familiarity with, Data Mesh approaches (as distinct from Data Fabric or Data Platform).
- Programming languages, including Java, Python and C/C++, as well as unified modelling language.
- Application server software as well as backup and archival software.
- Systems development lifecycle and project management.
- Data management and reporting technologies, predictive analytics, data visualization and unstructured data.
- Applied mathematics and statistics.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

Commit to making a difference beyond patients by pioneering AstraZeneca's sustainability strategy. Have the opportunity to be a key contributor to Zero Carbon by 2025 and carbon negative across the entire value chain by 2030. Everyone can contribute towards our collective legacy of doing good for people, the environment and society.

Ready to make an impact? Apply now!

Date Posted

Closing Date

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.