Principal System Analyst, Data Architect

About Corporate Functions
Corporate functions staff are the backbone of the company: talented, conscientious professionals who think outside the box and get things done. We set Boehringer Ingelheim's strategic compass to sustainable, reliable, innovative and customer-oriented. Internally, we ensure we have the employees' company needs covered so they can develop and grow here successfully. We also offer intelligent solutions and systems, overlook processes, investments and budgets, provide guidance to our businesses, and communicate to our internal and external stakeholders. We are proud of being a strategic partner to our business functions.

Responsibilities

• Own the design and evolution of enterprise-scale data and analytics architectures across platforms and domains.
• Translate business and product requirements into scalable, secure, and compliant data solutions.
• Define, document, and enforce data architecture standards, patterns, and best practices.
• Establish and maintain data governance, data quality, and data sharing frameworks in collaboration with Data Domain Owners.
• Ensure all data solutions comply with enterprise architecture principles, security policies, and regulatory requirements.
• Provide architectural guidance and technical leadership to delivery teams and key stakeholders.
• Contribute to the continuous improvement of enterprise data strategy and platform capabilities.

Required Capabilities：

• At least 5-8 years working experience
• 2–3 years as Data / BI / Platform Engineer working on data ingestion, transformation, and data modeling
• 2–3 years in senior data or data platform roles with responsibility for cross‑project data models, data quality, and platform design
• 1–2 years contributing to enterprise‑level data architecture and governance initiatives
• Require Hands‑on engineering experience → ownership of enterprise data models and reusable data assets → active participation in data governance and architectural decision‑making → Data
• ArchitectTechnical & Professional Skills:Enterprise data architecture and data modelingCloud platforms (AWS and/or Azure)Data lake and data warehouse technologies (e.g. Snowflake, dbt, SnapLogic)Data ingestion, transformation, and orchestration (ETL / ELT, Apache Airflow)Infrastructure as Code and CI/CD practicesData governance, data quality, lineage, and security principles