Senior GCP BigQuery Graph Engineer

Galent; Georgia; On-site; USD 120,000 - 180,000; Full time

Job summary

Galent is seeking an experienced BigQuery Graph & Google Cloud Platform (GCP) Specialist to design, develop, and optimize graph-based data solutions on Google Cloud. The ideal candidate will have strong expertise in BigQuery Graph, BigQuery, Cloud SQL, Python, and enterprise-scale data modeling to build scalable analytics and graph query solutions for complex business use cases.

This hands-on engineer collaborates with data architects, data engineers, and business stakeholders to model

Qualifications

• Strong experience with Google Cloud Platform (GCP).
• Hands-on expertise with BigQuery Graph, BigQuery, Python and enterprise-scale data modeling.

Responsibilities

• Design, develop and optimize graph-based data solutions on Google Cloud.
• Model interconnected datasets and develop graph traversals.
• Deliver high-performance analytics solutions in GCP.

Skills

GCP

BigQuery Graph

BigQuery

Python

GQL

SQL optimization

Graph analytics

Tools

Neo4j

Dataflow

Kafka

Job description

We are seeking an experienced BigQuery Graph & Google Cloud Platform (GCP) Specialist to design, develop, and optimize graph-based data solutions on Google Cloud. The ideal candidate will have strong expertise in BigQuery Graph, BigQuery, Cloud SQL, Python, and enterprise-scale data modeling, with the ability to build highly scalable analytics and graph query solutions for complex business use cases.

This role requires a hands‑on engineer who can work closely with data architects, data engineers, and business stakeholders to model interconnected datasets, develop graph traversals, and deliver high-performance analytics solutions in GCP

Mandatory Skills

• Strong experience with Google Cloud Platform (GCP).
• Hands‑on expertise with:
• BigQuery
• BigQuery Graph
• Python
• Experience writing and optimizing Graph Query Language (GQL) or similar graph query languages.
• Advanced SQL development and query optimization skills.
• Proven years working with large-scale data platforms and analytics systems.
• Experience handling structured and semi-structured datasets.

Preferred Skills

• Experience with graph databases such as:
• Neo4j
• Amazon Neptune
• JanusGraph
• Knowledge of data pipeline tools:
• Dataflow
• Kafka
• Experience with CI/CD pipelines and DevOps practices.
• Exposure to machine learning and graph analytics use cases.
• Experience with data governance and security frameworks.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law.

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