Sr System Analyst - Data Activation Engineer, Enterprise Data & Analytics

Con Edison; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Con Edison is seeking a Sr System Analyst, Data Activation Engineer within Enterprise Data & Analytics to design and build data integration pipelines connecting source systems to analytics platforms such as Google Cloud Platform, C3.ai, and Azure Databricks. You will define data contracts, validate data sensitivity, and ensure end-to-end data integrity with monitoring and observability layers.

Collaboration with solution engineers and business SMEs is essential to deliver dependable pipelines

Qualifications

• Experience designing data integration pipelines.
• Experience implementing data contracts and governance.
• Ability to validate data sensitivity and handling requirements.

Responsibilities

• Own the functional and technical design of interfaces between source systems and analytics platforms.
• Design and implement monitoring and observability layers to ensure end-to-end data integrity.
• Collaborate with solution engineers, data owners, and business SMEs to validate data needs.

Skills

Data integration

Data contracts

Cloud platforms

Collaboration

Monitoring & observability

Tools

Google Cloud Platform

Azure Databricks

C3.ai

Job description

The Sr System Analyst, Data Activation Engineer, Enterprise Data & Analytics is responsible for building the data integration pipelines and data contracts that connect our target analytics platforms (primarily Google Cloud Platform, other supported platforms are C3.ai, and Azure Databricks) to source systems and middleware. The role owns the functional and technical design of these interfaces, including identifying required tables and columns, validating data sensitivity and handling requirements, and selecting the right integration methodology based on platform capabilities. Data integrity is a core deliverable, not an afterthought, and the engineer is accountable for it across every stage of the pipeline.

This is a collaborative role. The engineer partners closely with solution engineers, source system owners, and business subject matter experts to confirm data needs and shape use case delivery. They also design and implement the monitoring and observability layers on each interface, making sure data arrives intact, complete, and on time end to end. Success in this role means dependable pipelines, clear contracts between systems, and analytics consumers who can trust the data theyre working with.

This position does not provide employment pursuant to the terms of a STEM OPT Training Plan.