Role overview

Qualifications

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
Advanced SQL and SQL Server experience, including complex query optimization and window functions

Responsibilities

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
Monitor data quality, pipeline performance, and reliability across the end-to-end data lifecycle

Key facts

Remote from: Philippines
Fixed term
Senior (5-10 years)
Data Engineer
English

Hard skills

Domo BigQuery SQL (Programming Language) Data Engineering Data Architecture Apache Airflow Business Intelligence Tools Observability Data Lineage Data Quality Assessment

Other skills

Problem Solving
Communication

About the company

Full Scale

Software Development

Full Scale is a tech services company that helps businesses build teams of software engineers. Our goal is to make finding and retaining highly experienced software engineers fast, easy and affordable. As lifelong entrepreneurs and software startup founders, we tore pages out of our own playbooks in order to create a service offering that is for Founders, by Founders! Matt DeCoursey is a Kansas City-based entrepreneur, co-founder, and CEO of Full Scale, co-host of the Startup Hustle podcast; as well as the founder of Gigabook. He is the top-selling author of Million Dollar Bedroom and Balance Me as well as the co-author of The Realist’s Guide to a Successful Music Career. Matt Watson is a Kansas City-based entrepreneur, co-founder of Full Scale, co-host of the Startup Hustle podcast; as well as the founder of Stackify. After a 150-million-dollar exit from VIN Solutions Matt founded Stackify, to help developers improve application performance so they can focus on building better apps. In 2021, Stackify was acquired by Netreo, earning Matt Watson a two-time exit Founder. Hosting the Startup Hustle podcast, we spend 5 days a week talking to entrepreneurs, influencers, investors and thought leaders shaping the local Startup ecosystem whom all say they have the same problem when it comes to finding the tech talent to help grow their business. It didn’t take long to realize something had to change. With that, we created Full Scale. We take a consultative approach with clients so that you can feel confident you are choosing the right team member for your project. To learn more about what we do: fullscale.io To learn more about who we are: https://linktr.ee/startuphustle

Company details

IndustrySoftware Development

Company size201 - 500

Links

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Job description

This is a remote position. Open to Philippine-based candidates only.

Company Overview:

Full Scale is a tech services company that helps businesses build dedicated teams of skilled software engineers. We make finding and retaining experienced software talent easy and affordable.

About the role:
We are looking for a Senior Data Engineer to own and scale core data infrastructure across our data warehouse, business intelligence, and operational systems. You will build reliable data pipelines, manage secure access to critical platforms, and ensure data is accessible, accurate, and ready for reporting. This role works closely with technical and business stakeholders to connect data sources, improve performance, and support data-driven decisions.

Key Responsibilities:

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

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.

Nice to Have:

Experience with additional cloud data platforms or BI tools.
Experience implementing data observability, lineage, or automated data-quality checks.
Experience working in Agile, distributed engineering teams.

Benefits

Work from anywhere in the Philippines
High-impact role with strong ownership and leadership visibility
Opportunity to shape scalable data architecture, governance, and analytics practices