Senior Data Modeler / Data Architect

Boehringer Ingelheim

Data Modeler/Architect responsible for designing and implementing data models for analytics in the pharmaceutical domain. Collaborating with stakeholders and ensuring compliance with industry standards.

Posted 4/20/2026full-time🇩🇪 GermanySeniorWebsite

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Develop scalable data models: design and deploy robust models to support interoperability, traceability, and analytics across domains, based on modeling best practices and continuous enhancements.
Ensure standards and governance: align models with internal and industry-wide standards, collaborating with governance teams to ensure quality and compliance.
Collaborate with stakeholders: translate business requirements into effective data structures and influence data-strategy decisions.
Drive innovation: adopt modern data-modeling approaches, foster innovation, and promote efficiency within the team.
Quality assurance: establish processes to validate model integrity, ensure auditability, and manage lifecycle updates.

Requirements

What you’ll need

2+ years in data modeling, data strategy, or enterprise data-warehousing in the pharmaceutical or regulated industries.
Proficiency in relational, dimensional, and semantic modeling methodologies, with hands-on experience using modeling tools such as Innovator, SqlDBM, or Erwin.
Additional for Senior role: 5+ years in data modeling or data architecture, plus hands-on project-management experience.
Able to perform in a high-performance culture.
Strong communication, problem-solving, and stakeholder-management skills, with a focus on scalability and long-term impact.
Strong proficiency in SQL, with hands-on experience building and maintaining dbt models (e.g., stored in Snowflake) for large-scale data transformations.
Experience working within Git-based development workflows, CI/CD practices, and Jira-based sprint planning and backlog management.
Deep understanding of regulatory requirements, data-governance practices, and industry trends.
Strong communication skills in spoken and written English.

Benefits

Comp & perks

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Hard Skills & Tools

data modelingdata strategyenterprise data warehousingrelational modelingdimensional modelingsemantic modelingSQLdbtdata transformationsproject management

Soft Skills

communicationproblem-solvingstakeholder managementinnovationcollaborationquality assuranceinfluencescalabilityefficiencyhigh-performance culture