Azure Data Architect
Sincera Technologies, Inc.
San Jose, United States of America
27 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
IntermediateJob location
San Jose, United States of America
Tech stack
Azure
Data Architecture
Information Engineering
Data Normalization
Operational Databases
Power BI
Reverse Engineering
SharePoint
File Transfer Protocol (FTP)
Data Ingestion
Data Lake
Azure
GXP
Requirements
- Total 15 to 20 years experience - 8+ years in data engineering or data architecture, with at least 4 years delivering on Azure (Synapse, ADF, Data Lake Gen 2)
- Proven experience leading production data platform migrations - not greenfield builds - from a source environment to a new Azure tenant under delivery timelines
- Hands-on experience managing SFTP-based data ingestion from multiple concurrent external vendors
- Demonstrated experience handling PHI data in HIPAA-regulated environments, including technical documentation for compliance and BAA processes
- Ability to inherit, reverse-engineer, and document pipelines from third-party managed service providers with varying documentation quality
- Experience running parallel environment validation - comparing source and target outputs at scale - prior to production cutover
- Comfortable operating as the primary technical owner on a time-pressured delivery program with direct stakeholder accountability
Preferred
- Background in pharmaceutical or life sciences commercial data - specialty pharmacy, patient support programs, claims, payer intelligence, or distribution data
- Experience migrating Power BI environments across tenants, including RLS re-implementation and dataset re-mapping
- Consulting or professional services background - proven ability to document as you go and produce clean handover deliverables
- GxP validated data environment or regulated SharePoint experience
- Familiarity with Azure Synapse managed services and third-party data aggregation platforms in pharma