GCP Data Engineer Lead: BigQuery/Dataflow Architect

Tech Mirrors; Mount Laurel Township (NJ); Remote; USD 140,000 - 190,000; Full time

Job summary

Tech Mirrors is seeking a Senior Data Engineer specializing in Google Cloud Platform to lead our enterprise data ecosystem. With 8–10 years of experience, you will design and deploy scalable data architectures that turn raw data into strategic BI; this role demands mastery of distributed computing, Python, and advanced SQL optimization.

You will shape architecture with BigQuery, Dataflow, Pub/Sub, and Terraform, drive data governance and security, mentor engineers, and align data initiatives

Qualifications

• 8–10 years of professional data engineering experience.
• Expert in GCP data services (BigQuery, Dataflow, Pub/Sub).
• Strong Python development and SQL optimization.
• Experience with multi-cloud or hybrid environments is a plus.
• Experience with IaC (Terraform) and data governance.

Responsibilities

• Architect end-to-end data architectures using GCP Modern Data Stack.
• Develop scalable data models (Star, Snowflake, Data Vault) for multi-petabyte analytics.
• Build streaming and batch pipelines with Beam (Dataflow) and Cloud Composer (Airflow).
• Lead data governance, security, and performance improvements.

Skills

GCP

Python

SQL

BigQuery

Data Modeling

DataOps

Terraform

Airflow

Data Governance

Security

Education

Bachelor's or Master's degree in a related field

Tools

Dataflow

Pub/Sub

Cloud Composer

IAM

Terraform

Job description

Tech Mirrors is seeking a Senior Data Engineer specializing in Google Cloud Platform to lead our enterprise data ecosystem. With 8–10 years of experience, you will design and deploy scalable data architectures that turn raw data into strategic BI; this role demands mastery of distributed computing, Python, and advanced SQL optimization.

You will shape architecture with BigQuery, Dataflow, Pub/Sub, and Terraform, drive data governance and security, mentor engineers, and align data initiatives