Senior Data Architect — AI & Big Data Pipelines

HRTX; Philippines; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

HRTX is seeking a senior Data Architect to design scalable data systems for AI and automation initiatives. You will collaborate with data scientists and engineers to ensure data availability and quality for model training and deployment.

The role emphasizes building robust data pipelines, ensuring data governance and security, and mentoring a team of engineers. A strong background in SQL/NoSQL, cloud platforms, and modern ETL tools is required.

Qualifications

• Bachelor's degree in CS/IS or related field.
• 8+ years' experience as Data Architect or senior data-focused role.
• Strong SQL and NoSQL DB knowledge; data modeling and ETL/ELT expertise.

Responsibilities

• Design, implement, and maintain scalable data architectures.
• Collaborate with data scientists and engineers for data availability and quality.
• Develop and optimize data pipelines and ETL/ELT processes.
• Ensure data integrity, security, and regulatory compliance.
• Create and maintain data models, schemas, and documentation.
• Evaluate and integrate new data technologies to enhance infrastructure.
• Provide technical leadership and mentorship to data engineers and analysts.
• Stay current with industry trends in data architecture and AI.

Skills

Data architecture

Data modeling

ETL/ELT pipelines

SQL databases

NoSQL databases

Azure

Airflow

Azure Data Factory

Spark/Databricks

Security & compliance

Education

Bachelor's degree in CS/IS

Tools

Docker

Kubernetes

CI/CD

Python

PySpark

Job description

HRTX is seeking a senior Data Architect to design scalable data systems for AI and automation initiatives. You will collaborate with data scientists and engineers to ensure data availability and quality for model training and deployment.

The role emphasizes building robust data pipelines, ensuring data governance and security, and mentoring a team of engineers. A strong background in SQL/NoSQL, cloud platforms, and modern ETL tools is required.