Lead Data Engineer, Data & AI — GCP & BigQuery Expert

InfoVision Inc.; Pleasanton (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

InfoVision Inc. seeks a Lead Data Engineer to design and implement scalable data pipelines on Google Cloud Platform, delivering data products for analytics and operations in a Pleasanton, CA location.

You will lead data engineering initiatives, collaborate with cross-functional teams, and drive best practices in ETL/ELT, data modeling, and performance optimization. Strong GCP, BigQuery, and dbt skills are essential.

Qualifications

• 8+ years of Data Engineering experience with leadership on enterprise projects.
• Strong hands-on experience with Google Cloud Platform (GCP).
• Expert-level BigQuery, SQL, dbt.
• Strong ETL/ELT architecture and large-scale data processing.
• Data modeling knowledge including dimensional and normalized models.
• Experience building scalable cloud-native data pipelines.
• Git, CI/CD, and engineering best practices.
• Strong analytical and communication skills.
• Ability to collaborate across cross-functional teams.

Responsibilities

• Design, develop, and implement scalable data pipelines and data products on Google Cloud Platform (GCP).
• Build and optimize enterprise data solutions using Dataproc, BigQuery, SQL, and dbt.
• Design robust and scalable data models that support analytical and operational reporting requirements.
• Develop efficient ETL/ELT pipelines to ingest, transform, and publish data from multiple enterprise systems.
• Collaborate with Product Managers, Business Analysts, Enterprise Solution Architects, Data Architects, and business stakeholders to translate business requirements into scalable technical solutions.
• Lead technical design discussions and perform code reviews to ensure engineering quality and adherence to standards.
• Optimize data processing performance, reliability, scalability, and cost across cloud-based data platforms.
• Implement monitoring, testing, and operational best practices to support production workloads.
• Contribute to reusable frameworks, engineering standards, and documentation that improve team productivity and solution consistency.
• Support production issue resolution and continuous improvement initiatives.
• Work effectively within Agile delivery teams and participate in sprint planning, estimation, and backlog refinement.
• Mentor team members

Skills

Data engineering leadership

GCP experience

ETL/ELT architecture

Data modeling

Cloud data pipelines

SQL proficiency

Python for data

Problem solving

Communication

Tools

BigQuery

dbt

Airflow

Kafka

PySpark

Python

Git

CI/CD

Job description

InfoVision Inc. seeks a Lead Data Engineer to design and implement scalable data pipelines on Google Cloud Platform, delivering data products for analytics and operations in a Pleasanton, CA location.

You will lead data engineering initiatives, collaborate with cross-functional teams, and drive best practices in ETL/ELT, data modeling, and performance optimization. Strong GCP, BigQuery, and dbt skills are essential.