Data Architect (Healthcare) | Fully WFH - Up to 350K Salary
Budget / Salary250,000–350,000 PHP
TypeFull-time job
LocationPhilippines
Posted2 hours ago
Job Expectations:
Position Type: Experienced - Senior/Lead
Employment Type: Full-Time; Independent Contractor (Direct Hire)
Work Setup & Location: Fully WFH - Philippines
Work Schedule: Weekdays; Night Shift (4-5 hours overlap with EST)
Industry: Healthcare
About the Job:
We are looking for a highly motivated and independent Senior Data Engineer to join our client's healthcare data team. In this role, you will design and implement scalable data solutions that integrate diverse electronic health record (EHR) and clinical systems. You will own projects end-to-end, from selecting the tech stack, designing data pipelines, and building a unified data warehouse to delivering robust solutions with minimal oversight. This role is ideal for candidates with strong healthcare domain knowledge, a data engineering background, and the ability to drive outcomes independently against strategic goals. Ready to take your skills to the next level? Apply now!
Key Responsibilities:
Design and implement scalable data ingestion frameworks for multiple EHR and clinical systems
Build reusable connectors, integration patterns, and ETL or ELT pipelines with high reliability and data quality
Architect and maintain a unified, flexible data warehouse schema that supports diverse and evolving data sources
Implement monitoring, logging, and error-handling across data workflows
Own projects end-to-end, including technical design, implementation, documentation, and delivery
Partner with engineering leadership to define milestones, timelines, and dependencies
Take initiative in selecting the appropriate tech stack and designing solutions for complex healthcare data challenges
Qualifications:
5+ years of hands-on data engineering experience, including complex data integration projects
Strong experience with modern data warehouse technologies such as Snowflake, Redshift, BigQuery, or similar
Expertise in API-based data ingestion and developing custom data connectors
Proficiency with contemporary data pipeline tools and orchestration frameworks
experience with healthcare data or health-tech platforms is required
Demonstrated ownership mindset, ability to work independently, and drive major projects to completion
Preferred Qualifications:
Experience designing multi-tenant or multi-source ingestion frameworks
Background in unified or generalized data modeling
Exposure to cloud infrastructure and CI or CD practices for data platforms and pipelines
Can start immediately, if possible
Only shortlisted candidates will be contacted; updating/tailoring CV is highly recommended
Originally posted on Himalayas
Position Type: Experienced - Senior/Lead
Employment Type: Full-Time; Independent Contractor (Direct Hire)
Work Setup & Location: Fully WFH - Philippines
Work Schedule: Weekdays; Night Shift (4-5 hours overlap with EST)
Industry: Healthcare
About the Job:
We are looking for a highly motivated and independent Senior Data Engineer to join our client's healthcare data team. In this role, you will design and implement scalable data solutions that integrate diverse electronic health record (EHR) and clinical systems. You will own projects end-to-end, from selecting the tech stack, designing data pipelines, and building a unified data warehouse to delivering robust solutions with minimal oversight. This role is ideal for candidates with strong healthcare domain knowledge, a data engineering background, and the ability to drive outcomes independently against strategic goals. Ready to take your skills to the next level? Apply now!
Key Responsibilities:
Design and implement scalable data ingestion frameworks for multiple EHR and clinical systems
Build reusable connectors, integration patterns, and ETL or ELT pipelines with high reliability and data quality
Architect and maintain a unified, flexible data warehouse schema that supports diverse and evolving data sources
Implement monitoring, logging, and error-handling across data workflows
Own projects end-to-end, including technical design, implementation, documentation, and delivery
Partner with engineering leadership to define milestones, timelines, and dependencies
Take initiative in selecting the appropriate tech stack and designing solutions for complex healthcare data challenges
Qualifications:
5+ years of hands-on data engineering experience, including complex data integration projects
Strong experience with modern data warehouse technologies such as Snowflake, Redshift, BigQuery, or similar
Expertise in API-based data ingestion and developing custom data connectors
Proficiency with contemporary data pipeline tools and orchestration frameworks
experience with healthcare data or health-tech platforms is required
Demonstrated ownership mindset, ability to work independently, and drive major projects to completion
Preferred Qualifications:
Experience designing multi-tenant or multi-source ingestion frameworks
Background in unified or generalized data modeling
Exposure to cloud infrastructure and CI or CD practices for data platforms and pipelines
Can start immediately, if possible
Only shortlisted candidates will be contacted; updating/tailoring CV is highly recommended
Originally posted on Himalayas
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