Intern in enterprise architecture responsible for document classification and application analysis. Supporting governance and maturity in enterprise architecture through structured documentation practices.
About the role
- Principal Data & Analytics Architect responsible for building data assets & analytics strategies at Danaher. Leading data management initiatives to drive business outcomes.
Responsibilities
- Architect solutions for Data ingestion, transformation & orchestration, data storage, and analytics, reporting, and ML/AI consumption for Danaher wide data models
- Build trusted, scalable, secure, compliant, and reusable data products in Snowflake that support AI/ML models, executive dashboards, and cross-OpCo analytics
- Establish data engineering standards, best practices, and reference architectures
- Enable self-service access through semantic layers, catalogues, and APIs
- Drive continuous improvement by implementing automated data quality checks, scaling ingestion/onboarding for M&A integrations, and maintaining uptime, optimization, and IT General Controls
Requirements
- Minimum 15 years of progressive experience creating enterprise IT architecture and ecosystems
- Minimum 10 years of Data & Analytics experience
- Deep expertise with modern data technologies (Snowflake, BigQuery, Databrikcs, Azure Fabric/Synapse, Airflow, Spark, etc.)
- Hands-on experience with cloud data ecosystems (AWS, Azure) designing high-volume, high-availability data pipelines
- Deep understanding of data modeling, ETL/ELT patterns, and orchestration frameworks
- Effective communication skills and ability to influence cross-functional stakeholders
- Ability to travel to Washington DC and global Danaher sites, up to 10%
Benefits
- Professional development opportunities
- Flexible work arrangements
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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