Enterprise Solutions Architect – Data & Growth (NAM)

Hilbert

United States

Hybrid

USD 150,000 - 230,000

Full time

14 days+

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Job summary

Hilbert is hiring a Solutions Architect to lead the technical side of enterprise deals and work with account executives across multiple accounts. You will map data access, present deployment patterns, and write the solution design and feasibility assessment the proposal is built on.

You will own the vendor security review, demonstrate Hilbert’s data ingestion, ML scoring, activation patterns, and ensure feasibility with the customer’s data stack.

Qualifications

  • Extensive experience in technical pre-sales, solutions architecture, data engineering or consulting, scoping data and ML solutions for enterprise buyers.
  • The perfect mix between technical experience and customer-facing readiness mindset.
  • You have carried enterprise security and architecture reviews in a regulated industry to a decision, and you know the difference between a question and a blocker.
  • You read a customer data stack in one call: warehouse (ClickHouse, Databricks, Snowflake, BigQuery, Redshift), CDP, CRM, ad platforms and their APIs, at the level of what goes where and what it costs to move.
  • Fluency in deployment and data-boundary concepts, enough to present them and spot what a customer needs changed: VPC and private link, cross-cloud connectivity, compute in place, data sharing, egress cost, data residency, SOC 2 and ISO 27001 requirements.
  • Hands-on SQL, comfort reading Python, being able to implement scripts when necessary.
  • Clear writing and compelling presentation: solution designs, data flows and interfaces an engineer can build from.

Responsibilities

  • Own the technical strategy for accounts from discovery to a signed scope with a documented solution design.
  • Find the data access path and its owner early to prevent deal stalls.
  • Own the vendor security review with a named counterpart on the customer’s security team covering encryption, anonymization and hashing, RBAC, retention, model-training boundaries and revocation.
  • Present Hilbert’s deployment and integration patterns and explain how ML models and agents work across data ingestion, ML scoring and activation into ads and CRM platforms.
  • Translate growth use cases into data and activation design the prospect’s engineers agree is buildable.
  • Win the technical evaluation in competitive deals and conduct architecture walkthroughs with proofs on the prospect’s data stack.
  • Turn the proof into a business case in dollars with the GTM lead and defend it to the client side.
  • Hand each signed scope to delivery engineers and gather feedback for product improvements.
  • Bring new cases and structured feedback to engineering and product teams as the product grows.
  • You are measured on technical wins, time-to-answer feasibility, and efficient technical sales processes.

Skills

Technical pre-sales
Solutions architecture
Data engineering
Consulting
SQL
Python
Written communication
Presentation skills

Tools

ClickHouse
Databricks
Snowflake
BigQuery
Redshift

Job description

Hilbert is hiring a Solutions Architect to lead the technical side of enterprise deals and work with account executives across multiple accounts. You will map data access, present deployment patterns, and write the solution design and feasibility assessment the proposal is built on.

You will own the vendor security review, demonstrate Hilbert’s data ingestion, ML scoring, activation patterns, and ensure feasibility with the customer’s data stack.

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