Enter a job title or keyword

Senior GCP Data EngineerData Architect Consultant

IScale Solutions

Job Location:

Makati City - Philippines

Monthly Salary: Not provided by the employer

Experience Required: 5years

Posted: 15 June 2026 (30+ days ago)

Application Deadline: 12 September 2026

Vacancies: 1 Vacancy

Job Summary

This is a remote position.

Key Responsibilities

* Assess the existing data pipeline GCP architecture data sources and current limitations.

* Design a BigQuery-based medallion architecture: Bronze Silver Gold and Serving layers.

* Design and/or implement data ingestion pipelines from Cloud Storage and Cloud SQL / MySQL into BigQuery.

* Define BigQuery datasets tables partitioning clustering and cost-control strategies.

* Support batch incremental and on-demand processing patterns.

* Design curated and BI-ready datasets for analytics and reporting.

* Support data quality checks validation logging monitoring and reprocessing patterns.

* Define integration patterns for Elasticsearch or other search / serving layers.

* Support architecture for AI enrichment embeddings semantic search and media metadata where required.

* Prepare technical documentation architecture diagrams implementation roadmap and handover materials.

* Work closely with client engineering data DevOps and product teams.

Requirements

Required Skills

* Strong hands-on experience with Google Cloud data services.

* Strong BigQuery experience including modeling optimization partitioning clustering and cost control.

* Experience with Cloud Storage ingestion patterns.

* Experience with Cloud SQL / MySQL to BigQuery integration.

* Experience building batch and incremental data pipelines.

* Experience with Dataform dbt Cloud Composer / Airflow Dataflow Cloud Run or similar tools.

* Strong SQL and data modeling skills.

* Good understanding of lakehouse / medallion architecture.

* Experience with data quality metadata lineage logging and monitoring.

* Ability to work in an ambiguous consulting environment and translate high-level requirements into practical implementation plans.

* Strong communication skills and client-facing experience.

Preferred Skills

* Experience with Elasticsearch or search index publishing.

* Experience with Power BI-ready datasets or analytical serving layers.

* Experience with Vertex AI Gemini embeddings vector search or semantic search.

* Experience with media social media marketing campaign influencer or audience data.

* Experience with Dataplex Data Catalog IAM policy tags row-level security or column-level security.

* Experience with CI/CD for data pipelines.

Benefits

WFH or Hybrid and competitive salary

Required Skills:

Required Skills * Strong hands-on experience with Google Cloud data services. * Strong BigQuery experience including modeling optimization partitioning clustering and cost control. * Experience with Cloud Storage ingestion patterns. * Experience with Cloud SQL / MySQL to BigQuery integration. * Experience building batch and incremental data pipelines. * Experience with Dataform dbt Cloud Composer / Airflow Dataflow Cloud Run or similar tools. * Strong SQL and data modeling skills. * Good understanding of lakehouse / medallion architecture. * Experience with data quality metadata lineage logging and monitoring. * Ability to work in an ambiguous consulting environment and translate high-level requirements into practical implementation plans. * Strong communication skills and client-facing experience. Preferred Skills * Experience with Elasticsearch or search index publishing. * Experience with Power BI-ready datasets or analytical serving layers. * Experience with Vertex AI Gemini embeddings vector search or semantic search. * Experience with media social media marketing campaign influencer or audience data. * Experience with Dataplex Data Catalog IAM policy tags row-level security or column-level security. * Experience with CI/CD for data pipelines.

Apply Now