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Do you want to join a fast-growing global consultancy in the life science industry? We are currently looking to expand our Data and Analytics practice area with a best-in-class Data Architect to integrate a team of passionate consultants who work at the intersection of data analytics and life sciences, helping pharmaceutical companies leverage data for smarter decision-making, regulatory compliance, and improved patient outcomes.
Job Responsibility:
Design and implement scalable data architectures to support the complex data needs of pharmaceutical clients
Lead the strategy for data integration, data governance, and cloud infrastructure across R&D and Commercial Excellence datasets
Ensure architecture aligns with industry standards and supports the team’s analytical objectives
Collaborate with senior stakeholders, business analysts, data engineers, and data scientists to create a unified, efficient data ecosystem
Translate pharma clients’ business needs into user stories and technology
Participate in implementation projects for high profile clients – from initiation to completion
Requirements:
5+ years of experience in implementing IT solutions
3+ years in the pharmaceutical or life sciences industry
Experience building Data Architecture frameworks for a specific tech/data product
Experience designing and managing systems that integrate data from various sources (Mulesoft, Alteryx, Rest APIs)
Experience leading initiatives to establish robust data governance framework and lineage (GxP, 21 CFR Part 11)
Experience overseeing the continuous improvement of defined frameworks
Experience contributing to the identification of significant data assets & translation of business requirements into data products
Experience identifying & assessing potential impacts/opportunities of product choices from a data architecture standpoint
Experience coordinating with other Data/Tech Architects
Ability to provide data architecture best practices
Actively engage in internal knowledge-sharing initiatives
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
Ability to communicate and collaborate effectively with both technical and business stakeholders
Ability to structure tasks and sense of details
Strong Team spirit
BSc or MSc from a leading university in Computer Sciences, Information Technology, Engineering or similar
Strong knowledge of conceptual, logical modelling (Snowflake)
Deep expertise in designing cloud-based data architectures (AWS, Azure, GCP)
Experience with big data platforms and technologies (Hadoop, Spark, Databricks)
Proficiency in data modelling, ETL /ELT pipeline design, and real-time data integration frameworks
Familiarity with BI tools (full-stack development)
Ability to define the value of the data asset to the enterprise
Experience in advanced programming and administering databases
Strong communication skills
Mastery of data governance & security guidelines
Excel in agile ways of working and documenting (collaboration, DevOps)
Practical experience with agile and waterfall project management
Proven experience with implementing cloud solutions
Understanding of compliance frameworks such as GxP, HIPAA, and GDPR is a plus
Plans and executes tasks efficiently while upholding confidentiality and quality
Delivers accurate, error‑free work by following procedures and meeting deadlines
Generates creative ideas and explores innovative solutions
Investigates issues, builds expertise, and provides practical, insightful improvements
Willing to continuously build knowledge in the IT solutions and business areas where BASE is a leader
Nice to have:
Understanding of compliance frameworks such as GxP, HIPAA, and GDPR
What we offer:
Flexible schedule
An entrepreneurial and multi-cultural work environment
Ongoing learning and development opportunities
An inspiring work environment with many social events
A culture based on trust, diversity, and inclusion