Senior Data Engineer - Scale Financial Data Platforms

Arch Global Services; Manila; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Arch Global Services is seeking a senior data engineer to own and scale the data platform underpinning our quantitative strategies. You will architect production pipelines, ingest data from multiple sources, and collaborate with quant researchers to translate needs into robust systems.

This is a hands-on role emphasizing data governance, testing, CI/CD, and reliable APIs (FastAPI). You will work across DEV/STAGE/PROD environments, ensuring data quality and observability while upholding

Qualifications

• 5+ years of professional data engineering experience with production-grade pipelines.
• Strong Python and SQL skills and cloud platform experience.
• Experience designing scalable ETL data pipelines and multi-environment deployment.
• Familiar with CI/CD and observability for production systems.

Responsibilities

• Platform ownership: Architect, build, and own production data pipelines and storage systems ingesting large-scale datasets.
• Data governance: Own data quality, governance, and documentation across pipelines.
• API & service design: Contribute to production APIs powering internal applications.
• Quality & reliability: Implement test plans, non-regression testing and data validation.
• Engineering standards: Promote CI/CD, code quality, and observability.
• Team collaboration: Translate quant research needs into robust data architectures.

Skills

Python

SQL

Cloud platforms

ETL pipelines

CI/CD

APIs (FastAPI)

Data governance

Data quality assurance

Observability/monitoring

Communication / collaboration

Education

BS in Engineering, Computer Science, Information Technology, or equivalent

Tools

Snowflake

Databricks

GitHub Actions

FastAPI

Job description

Arch Global Services is seeking a senior data engineer to own and scale the data platform underpinning our quantitative strategies. You will architect production pipelines, ingest data from multiple sources, and collaborate with quant researchers to translate needs into robust systems.

This is a hands-on role emphasizing data governance, testing, CI/CD, and reliable APIs (FastAPI). You will work across DEV/STAGE/PROD environments, ensuring data quality and observability while upholding