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Tech Stack
Tools & technologiesAWSAzureBigQueryCloudGoogle Cloud Platform
About the role
Key responsibilities & impact- Design and manage data domains to enable the creation of interoperable, trustworthy data products.
- Build and optimize Oura’s Data Lakehouse leveraging Databricks, Google Big Query, and Snowflake to process Terabyte-Petabyte scale data.
- Implement federated data governance within the data mesh to meet privacy, compliance (HIPAA/PHI), and security requirements.
- Partner with Data Engineering and Data Science to advocate for unified analytics and modeling best practices.
- Design vector-based data architectures and Retrieval Augmented Generation (RAG) patterns to enable LLM reporting and Agentic AI.
- Establish scalable data management frameworks and a governed data dictionary to enable organizational self-service.
Requirements
What you’ll need- 8+ years of experience in data architecture or modeling
- Hands-on expertise in major cloud platforms including AWS, GCP, or Azure
- Proficiency in designing and managing cloud-native warehouses like Snowflake or Google BigQuery
- Ability to build and operate a Unified Global Lakehouse
- Familiarity with the Data Mesh approach
- Capability to lead the entire data lifecycle
- Expertise in Master Data Management (MDM)
- Skill in designing architectures for Large Language Models (LLM)
Benefits
Comp & perks- Competitive Salary
- Lunch benefit
- Wellness benefit
- Flexible working hours
- Collaborative, smart teammates
- An Oura ring of your own
- Easy-to-reach office in Helsinki city center
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data architecturedata modelingcloud platformscloud-native warehousesUnified Global LakehouseData MeshMaster Data ManagementLarge Language Modelsdata governancedata management frameworks
Soft Skills
leadershipcollaborationadvocacyorganizational skills
