Solution Engineer - GCP

Fractal Analytics • New York, NY

1d • Onsite

About The Position

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. 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. Please visit Fractal | Intelligence for Imagination for more information about Fractal 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.

Requirements

• Technical & Platform Expertise Strong experience designing solutions on: Databricks (data engineering, analytics, lakehouse patterns) Google Cloud Platform, including relevant data and analytics services Solid understanding of: Data pipelines and transformations Analytical and reporting use cases Scalable, production-grade architectures
• Solution Engineering & Architecture Proven experience translating business requirements into technical designs Comfort operating with incomplete or evolving requirements Ability to balance speed, rigor, and pragmatism
• Delivery & Agile Mindset Experience working with agile delivery teams Understanding of how design evolves during implementation Focus on enabling progress rather than perfect upfront specification
• Communication & Influence Ability to clearly articulate technical decisions to both technical and non-technical stakeholders Comfortable acting as a point of alignment across multiple teams and domains

Nice To Haves

• Experience in regulated or enterprise environments
• Familiarity with analytics or advanced analytics use cases
• Exposure to multi-domain or portfolio-scale delivery models

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

Benefits

• As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plan in accordance with the plan documents, which may be amended from time to time.
• You will be eligible for benefits on the first day of employment with the Company.
• In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms.
• The Company provides 11 paid holidays and 12 weeks of Parental Leave.
• We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed