Senior Data Architect - Build Scalable Data Platforms

Straive; Taguig; On-site; PHP 1,500,000 - 1,900,000; Full time

Job summary

Straive in Taguig, Philippines, is seeking an experienced Data Engineer to design and implement data pipelines and data warehouses for BI and analytics. You will work across data sources, ensure data quality, and collaborate with business and IT stakeholders to deliver scalable solutions.

Qualifications include 7+ years in data engineering, AWS and Snowflake certifications, strong ETL and SQL skills, and experience with BI tools such as Qlik. Collaborative, agile mindset required.

Qualifications

• 7+ years of data engineering experience, preferably in the financial industry.
• Certified in AWS Data Engineer Specialty or AWS Solutions Architect Associate.
• Snowflake SnowPro Core Certification.
• Strong understanding of ETL, data warehousing, BI and advanced data analytics concepts.

Responsibilities

• Analyze internally and externally sourced data to generate BI and analytics datasets per stakeholder requirements.
• Design data pipelines to curate sourced data into the in-house data warehouse.
• Develop data marts to facilitate dataset consumption from the in-house data warehouse by business and IT stakeholders.
• Design data model changes in alignment with in-house data warehouse standards.
• Define and plan migration activities to move data to the in-house data warehouse.

Skills

ETL pipelines

Data modeling

BI concepts

Data quality

Agile (Kanban/SAFe/SCRUM)

Stakeholder communication

Data warehousing

Education

Bachelor’s or Master’s degree in Computer Science/IT/Engineering

Tools

Snowflake

AWS Glue

AWS RDS

PostgreSQL

MS SQL

Qlik

Job description

Straive in Taguig, Philippines, is seeking an experienced Data Engineer to design and implement data pipelines and data warehouses for BI and analytics. You will work across data sources, ensure data quality, and collaborate with business and IT stakeholders to deliver scalable solutions.

Qualifications include 7+ years in data engineering, AWS and Snowflake certifications, strong ETL and SQL skills, and experience with BI tools such as Qlik. Collaborative, agile mindset required.