Senior Data Engineer

Full Scale

Senior Data Engineer at Full Scale managing data infrastructure, pipelines, and integrations for business intelligence. Collaborating with stakeholders to support data-driven decisions.

Posted 7/17/2026contractRemote • 🇵🇭 PhilippinesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in Data Engineering and Architecture, with a strong focus on Snowflake administration, DOMO integrations, and advanced SQL techniques. Capable of designing and optimizing scalable ETL/ELT pipelines while ensuring data quality and security across the data lifecycle.

Highest-signal resume keywords

Snowflake AdministrationDOMO Data IntegrationsAdvanced SQL TechniquesETL/ELT Pipeline DesignOrchestration Tools (Airflow, Dagster)

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data EngineeringData ArchitectureSnowflakeDOMOGoogle BigQuerySQL ServerAdvanced SQLETLELTDbt

Soft Skills

Problem-SolvingCommunicationStakeholder Management

Tools & Technologies

AirflowDagsterRBACData Governance

Industry Keywords

Data QualityData LifecycleData IntegrationData SecurityData Flows

Tech Stack

Tools & technologies

AirflowBigQueryETLGoogle Cloud PlatformSQL

About the role

Key responsibilities & impact

Own and improve the reporting and semantic layer in DOMO.
Integrate data from Snowflake, BigQuery, SQL Server, and other external sources into DOMO.
Build and optimize DOMO data flows, datasets, and reporting pipelines.
Administer and maintain Snowflake environments, including provisioning, RBAC, security controls, and access management.
Design and operate scalable Snowflake ingestion and transformation pipelines using Streams and Dynamic Tables.
Manage BigQuery integrations, access controls, and connectivity with DOMO.
Design, troubleshoot, and optimize complex SQL Server queries and database workflows.
Use advanced SQL techniques, including window functions, to support data transformation and analysis.
Build and maintain orchestration pipelines using Airflow, Dagster, or similar tools.
Develop and maintain dbt models, testing, documentation, and transformation workflows.
Monitor data quality, pipeline performance, and reliability across the end-to-end data lifecycle.
Partner with engineering, analytics, and business teams to define data requirements and deliver dependable solutions.

Requirements

What you’ll need

At least 7 years of experience in Data Engineering, Data Architecture, or a related role.
Strong hands-on experience with Snowflake administration, architecture, security, and RBAC.
Strong experience with DOMO, including data integrations, data flows, datasets, and reporting support.
Strong experience with Google BigQuery and GCP access management.
Advanced SQL and SQL Server experience, including complex query optimization and window functions.
Experience designing and maintaining scalable ETL or ELT pipelines.
Experience with dbt and at least one orchestration platform such as Airflow or Dagster.
Experience managing data access, governance, and security controls.
Ability to work independently and own data infrastructure from database administration through BI delivery.
Strong problem-solving, communication, and stakeholder-management skills.

Benefits

Comp & perks

Work from anywhere in the Philippines