Senior Data Architect

The life sciences industry plays a significant role in advancing healthcare and improving the quality of life - in many cases, saving millions of lives globally. At BASE life science, this is the motivation for everything we do, aimed at pushing boundaries, seeking excellence, and making a lasting difference through consulting expertise and data-driven solutions.

**Who is BASE life science?**:
Founded in 2007, BASE life science is a business and technology consulting enterprise working exclusively in the life sciences industry.

From our headquarters in Denmark and offices in France, Germany, Italy, Spain, Switzerland, the United Kingdom, and the United States of America, we serve customers across the globe. With a deep understanding of the life sciences industry, we work hand in hand with customers to identify, develop, and implement strategic initiatives that drive growth, efficiency, and overall success through tailored solutions.

Our partnership with industry-leading solution providers, including Veeva, Salesforce, IQVIA, Benchling, and MediSpend ensures that our clients harness the full potential of the most innovative solutions on the market.

**About the role**:
As a Senior Data Architect, you will play a pivotal role in designing and implementing scalable data architectures to support the complex data needs of pharmaceutical clients. You will lead the strategy for data integration, data governance, and cloud infrastructure across R&D and Commercial Excellence datasets, ensuring that the architecture aligns with industry standards and supports the team’s analytical objectives. You will collaborate with senior stakeholders, business analysts, data engineers, and data scientists to create a unified, efficient data ecosystem that drives business value.

The position is within the Data and Analytics practice area at BASE, which combines highly specialized business knowledge of the pharma commercial domain with in-depth technology expertise to maximize the value creation from the digital platform of our clients.

As a minimum, we expect you to have 7+ years of experience as a Senior Data Architect within life science, specifically to fulfil the following responsibilities:

- Build Data Architecture frameworks for a specific tech/data product (reference, meta and/or master data, data management procedures ).
- Design and manage systems that integrate data from various sources including clinical, commercial, R&D, and financial systems, ensuring high performance and data integrity (Mulesoft, Alteryx, Rest APIs,..).
- Lead initiatives to establish robust data governance framework and lineage, ensuring data quality, metadata management, and adherence to compliance regulations (GxP, 21 CFR Part 11, etc.).
- Oversee the continuous improvement of defined frameworks to meet both current and future business needs whilst securing optimal data accuracy & accessibility (based on new data usage uncovered by data scientists ).
- Contribute to the identification of significant data assets for the enterprise & to the translation of business requirements into data products (database, warehouse, stream ).
- Coordinate with other Data/Tech Architects as needed to secure the consistency of architecture decisions in alignment with clients’ constraints and decisions.
- Provide data architecture best practices & bring forward new ways of thinking around data to improve outcomes.
- Actively engage in internal knowledge-sharing initiatives and consistently pursue professional development by staying current with industry and technology trends.
- Deep hands-on understanding of the commercial processes in life science companies.
- Successful track record of participating in IT projects in a life science company.
- Problem solving and critical thinking mindset to support our clients’ analytics challenges and ambition to become data driven companies.
- Ability to communicate and collaborate effectively with both technical and business stakeholders.
- Ability to structure tasks and sense of details.
- Strong Team spirit to contribute to project success as a great Team player.

We offer this position in Madrid or Barcelona, Spain.

**What makes you the best person for this job?**:
On top of this, you have the following competences:

- A BSc or MSc from a leading university in e.g., Computer Sciences, Information Technology, Engineering or similar experience.
- Strong verbal and written communication skills in English.
- Strong knowledge of conceptual, logical modelling, especially for rationalizing data objects (Snowflake ).
- Deep expertise in designing cloud-based data architectures (AWS, Azure, GCP), including experience with big data platforms and technologies (Hadoop, Spark, Databricks).
- Proficiency in data modelling, ETL /ELT pipeline design, and real-time data integration frameworks.
- You are familiar with BI tools (full-stack development).
- You have the ability to define the value of the data asset to the enterprise.