Solution Engineer - GCP

Location: New York

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*** Solution Engineer – Data & Analytics Platforms (Databricks or Google Cloud)
** Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence.

Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

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Location:

NYC, New York (Onsite)

Note:

This position is not eligible for Immigration Sponsorship
* at this time.
**
* Position Overview:

** We are seeking an experienced Solution Engineer to bridge the gap between business intake and technical delivery for data and analytics use cases. This role is responsible for translating product and business requirements into pragmatic, end-to-end technical solutions that can be confidently handed off to delivery teams.

Solution Engineers operate at the intersection of architecture, platform engineering, and delivery planning. They ensure that use cases are technically feasible, aligned to platform standards, and positioned for rapid execution—without requiring exhaustive upfront design.

This role will support multiple domains and a growing portfolio of use cases built on
** Databricks and/or Google Cloud.
***
* Key Responsibilities:

**# Intake & Requirements Translation
* Review PRDs and intake artifacts to assess:  + Functional requirements  + Data sources and dependencies  + Success criteria and value drivers
* Identify gaps, ambiguities, and assumptions requiring clarification
* Ensure PRDs remain focused on
* what* is needed, not
* how* it is built# Solution Design & Architecture
* Define end-to-end technical solutions, including:  + Data ingestion and transformation approaches  + Solution Architecture  + Platform services and components (Databricks, GCP)  + Analytics, modeling, and consumption patterns
* Determine appropriate design depth:  + “Just enough” architecture to start delivery  + Iterative refinement as development progresses
* Decide when use cases require:  + Proofs of concept (POCs)  + Direct progression to build and production# Platform & Feasibility Assessment
* Evaluate use cases against:  + Platform readiness  + Data availability and quality  + Security, governance, and operational constraints
* Provide input into:  + Delivery sequencing  + Effort and complexity estimation  + Technical risk identification# Delivery Enablement
* Serve as the technical handoff point to development teams
* Collaborate with delivery leads to:
* Clarify architectural intent
* Adjust designs as implementation realities emerge
* Support agile delivery by updating solution artifacts as needed# Cross-Team Collaboration
* Work closely with:  + Intake and product teams  + Platform and data engineering teams  + Analytics and data science teams
* Help establish and evolve:  + Solution design standards  + Documentation expectations  + Feedback loops between intake and delivery
** Required Experience & Skills**# Technical & Platform Expertise
*…