Remote Data Architect, Healthcare - EHR & Warehouse Lead

RecruitNest Consulting; Metro Manila; Remote; PHP 300,000 - 350,000; Full time

Job summary

RecruitNest Consulting is seeking a Senior Data Architect (Healthcare) to design and implement scalable data solutions, integrating EHR systems and clinical data. You will own projects end-to-end, selecting tech stacks, building pipelines, and delivering robust healthcare data platforms with minimal oversight.

The role emphasizes strong data engineering, modern warehouse tech, and a drive to advance strategic healthcare data initiatives while coordinating with engineering leadership.

Qualifications

• 5+ years of hands-on data engineering with complex data integration.
• Experience with modern data warehouse tech (Snowflake / Redshift / BigQuery).
• API-based ingestion and custom connector development expertise.
• Proficiency in data pipelines and orchestration frameworks.
• Healthcare data/health-tech domain experience is required.

Responsibilities

• Design and implement scalable data ingestion for EHR and clinical systems.
• Build reusable connectors and ETL/ELT pipelines with high data quality.
• Architect and maintain a unified data warehouse schema for evolving sources.
• Implement monitoring, logging, and error handling across workflows.
• Own projects end-to-end from design to delivery with leadership alignment.

Skills

Data engineering

Data warehousing

API ingestion

Orchestration tools

Healthcare data

Job description

Data Architect (Healthcare) | Fully WFH - Up to 350K Salary

Job Openings Data Architect (Healthcare) | Fully WFH - Up to 350K Salary

About the job Data Architect (Healthcare) | Fully WFH - Up to 350K Salary

Job Expectations:

• Position Type: Experienced - Senior/Lead
• Work Setup & Location: Fully WFH - Philippines
• Work Schedule: Weekdays; Night Shift (4-5 hours overlap with EST)

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

Only shortlisted candidates will be contacted; updating/tailoring CV is highly recommended