Senior Data Architecture Manager

Lewis Personnel Management; Taguig; On-site; PHP 1,674,000 - 2,344,000; Full time

Job summary

Lewis Personnel Management in Taguig is seeking an experienced Data Architect to lead the design, assessment, and modernization of the enterprise data architecture on a contract basis.

You will develop and enforce data engineering standards, build scalable data solutions using GCP services such as BigQuery and Dataflow, and mentor engineers while collaborating with cross-functional teams to drive governance and best practices in data handling, security, and quality.

Qualifications

• 5+ years of experience in data architecture, data engineering, or analytics platform development.
• Proven hands-on experience with GCP data services such as BigQuery, Dataflow, Dataproc, Cloud Composer, Cloud Storage.
• Experience with data lakes, data warehouses, medallion architecture, and data governance.

Responsibilities

• Lead the design, assessment, and modernization of the enterprise data architecture.
• Develop and implement data engineering standards, governance, and best practices.
• Build scalable data solutions using GCP services such as BigQuery, Dataflow, Cloud Composer, Dataproc, and Cloud Storage.
• Create reusable frameworks, templates, and CI/CD pipelines to improve engineering efficiency.
• Collaborate with cross‑functional teams and mentor engineers on data architecture standards and implementation.

Skills

Data architecture

GCP data services

CI/CD practices

Data governance

Stakeholder management

Technical mentoring

Job description

Location: BGC, Taguig
Employment Type: Contract (3–6 months)

Key Responsibilities

• Lead the design, assessment, and modernization of the enterprise data architecture.




• Develop and implement data engineering standards, governance, and best practices.




• Build scalable data solutions using GCP services such as BigQuery, Dataflow, Cloud Composer, Dataproc, and Cloud Storage.




• Create reusable frameworks, templates, and CI/CD pipelines to improve engineering efficiency.




• Collaborate with cross‑functional teams and mentor engineers on data architecture standards and implementation.

Qualifications

• 5+ years of experience in Data Architecture, Data Engineering, or Analytics Platform development.




• Strong hands‑on experience with GCP data services (BigQuery, Dataflow, Dataproc, Cloud Composer, Cloud SQL, Pub/Sub, Cloud Storage).




• Proven expertise in data lakes, data warehouses, medallion architecture, and data governance.




• Experience with CI/CD, data quality frameworks, and cloud security (PII, data masking, access controls).




• Strong problem‑solving, communication, and stakeholder management skills.

LGC-MCV