GCP Data Engineering Lead — Enterprise Data & Analytics

Consolidated Edison Company of New York; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Consolidated Edison Company of New York is seeking a Systems Manager, GCP Data Engineering for the Enterprise Data & Analytics Platform. You will lead a hands-on team that designs, builds, and maintains enterprise-grade data pipelines on GCP, including ingestion, transformation, and activation of data products for analytics and AI/ML initiatives.

The role blends advanced data engineering with people leadership, FinOps collaboration, and governance.

Qualifications

• Master's or Bachelor's degree with relevant full-time experience in data engineering or a closely related field.
• Experience leading hands-on data engineering teams and delivering enterprise-grade data platforms.

Responsibilities

• Lead, mentor, and develop a technical, high-performing team of GCP data engineers, establishing work plans and metrics.
• Oversee secure data ingestion from on-premises and cloud sources into the EDAP landing zone.
• Design and develop automated data transformations and curated datasets using SQL, Python, and Dataform across Bronze, Silver, and Gold layers.
• Lead the delivery of secure exposure layers (views, datasets, APIs) for analytics, dashboards, and AI/ML systems.
• Coordinate with FinOps to optimize GCP costs and ensure reliable pipeline performance.
• Partner with governance to implement data quality, lineage, and access controls in alignment with privacy rules.

Skills

Leadership

Communication

Problem Solving

Time Management

Attention to Detail

Education

Master's Degree

Bachelor's Degree

Tools

BigQuery

Dataflow

Dataproc

Pub/Sub

Dataplex

Cloud Storage

SQL

Python

Spark

Dataform

Composer/Airflow

Terraform

Azure DevOps

Job description

Consolidated Edison Company of New York is seeking a Systems Manager, GCP Data Engineering for the Enterprise Data & Analytics Platform. You will lead a hands-on team that designs, builds, and maintains enterprise-grade data pipelines on GCP, including ingestion, transformation, and activation of data products for analytics and AI/ML initiatives.

The role blends advanced data engineering with people leadership, FinOps collaboration, and governance.