Google Cloud Platform Data Solution Architect - New York, NY/Edison, NJ (Hybrid)

Google Cloud Platform Data Solution Architect (2 positions)

New York, NY/Edison, NJ (Hybrid)

5 Months contract

Core Responsibilities

Data Validation: Identify and validate data tables at the source level and define required extracts to support POCs or MVPs.

Platform Alignment: Determine the optimal services/high level architecture on Google Cloud Platform.

Approach Validation: Support the POC team to conduct rapid technical spikes or small-scale development to prove the approach.

Strategic Advice: As needed, provide "Build vs. Buy" recommendations based on Con Edison s existing tech stack and time-to-value constraints.

Go/No-Go: Confirm decision to move forward to MVP.

Architectural Mapping: Design the full data flow - from ingestion and transformation to the final consumption layer for the end user (logical, no source to target mapping required at this step).

Component Integration: Document how technical components, APIs, and integrations will interact within the Google Cloud Platform environment.

Cross-Platform Orchestration: Ensure seamless connectivity between Azure, Google Cloud Platform, or on-premise systems as required by the specific use case.

Required Qualifications

Google Cloud Platform Expertise: Deep experience with Google Cloud Platform (BigQuery, Vertex AI, Dataflow, GCS). Professional certification in Google Cloud Platform.

Agile Architecture: Proven ability to design and deliver an MVP within a 6 8 week duration.

Data Fluency: Strong ability to perform data discovery and understand complex table schemas at the source level.

Preferred - Utility/Large Enterprise Experience: Familiarity with heavy-asset industries and tools like Maximo is a significant plus