Solutions Engineer – Data & Cloud Analytics Consulting

Vibe Talent

New York (NY)

Hybrid

USD 175,000 - 250,000

Full time

14 days+

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Benefits offered by this job

Annual bonus and commission
Professional development opportunities

Job summary

A leading consulting firm is seeking a Solutions Engineer (Data & Cloud Analytics) in New York City. The role involves partnering with enterprise clients to craft tailored data solutions, delivering effective demos, and serving as a trusted advisor. Ideal candidates have a Bachelor’s degree and 7+ years of relevant experience, with proficiency in modern data tools like Snowflake and dbt. This full-time position offers a hybrid work model and competitive compensation.

Qualifications

  • 7+ years in technical presales, solution consulting within data consulting or SaaS.
  • Proven success engaging enterprise clients across multiple industries.
  • Willingness to travel for client engagements and industry events.

Responsibilities

  • Partner with prospects to uncover business challenges and tailor data solutions.
  • Deliver hands-on demos and proof-of-concepts to inspire confidence.
  • Serve as a trusted advisor to senior stakeholders across IT, data, and business.

Skills

Technical fluency with modern data stack
Project management
Excellent written and verbal communication

Education

Bachelor’s degree in Computer Science, Engineering, Business

Tools

Snowflake
Databricks
dbt
Airflow

Job description

Solutions Engineer – Data & Cloud Analytics Consulting
Solutions Engineer – Data & Cloud Analytics Consulting

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This range is provided by Vibe Talent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$175,000.00/yr - $250,000.00/yr

Additional compensation types

Annual Bonus and Commission

Solutions Engineer – Data & Cloud Analytics Consulting

Location: New York City | Hybrid | Full-Time

A rapidly scaling consultancy at the forefront of data transformation is seeking a Solutions Engineer (Data & Cloud Analytics) to join its go-to-market organization. This role blends technical acumen, commercial impact, and consultative storytelling to help enterprise clients unlock the full value of their modern data investments. If you thrive at the intersection of technology, business, and client engagement, this is an opportunity to shape high-stakes sales cycles and accelerate enterprise data adoption.

What You’ll Do

Bridge Strategy with Technology

  • Partner with enterprise prospects to uncover business challenges and align them with tailored data solutions.
  • Articulate the “why” behind the modern data stack, turning technical detail into compelling business outcomes.
  • Deliver hands-on demos, proof-of-concepts, and technical workshops that inspire confidence in the consultancy’s expertise.
  • Work side-by-side with account executives on client pursuits, RFP responses, and pitch decks.
  • Craft proposals that integrate technical feasibility, delivery plans, and commercial value.
  • Position yourself as the technical voice of authority during the sales process.

Guide Delivery Readiness

  • Collaborate with delivery and engineering leaders during project scoping, estimation, and planning.
  • Ensure seamless hand-offs from sales to delivery, minimizing friction and maximizing client trust.
  • Track engagement milestones and resolve early-stage project issues before they escalate.

Elevate Client Engagement

  • Serve as a trusted advisor to senior stakeholders across IT, data, and business leadership.
  • Strengthen client relationships through ongoing consultation and solution recommendations.
  • Identify opportunities to expand accounts with complementary services and offerings.
  • Share insights from the field with product and marketing teams to sharpen messaging and offerings.
  • Contribute to refining presales processes, methodologies, and enablement playbooks.
  • Invest in your own development by staying sharp on the latest advancements in cloud, analytics, and open-source tooling.

What You Bring

  • Bachelor’s degree in Computer Science, Engineering, Business, or equivalent practical experience.
  • 7+ years in technical presales, sales engineering, or solution consulting within data consulting or SaaS.
  • Proven success engaging enterprise clients across multiple industries.
  • Technical fluency with the modern data stack:
  • Data Warehousing: Snowflake, Databricks
  • Open-Source: dbt (strongly preferred), Airflow
  • Solid understanding of data management, analytics, and cloud architecture.
  • Excellent project management instincts and the ability to juggle multiple pursuits simultaneously.
  • Exceptional written, verbal, and presentation skills; comfortable in front of executives and technical teams alike.
  • Strong track record of enabling or exceeding sales performance goals.
  • Willingness to travel for client engagements and industry events.
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology, Sales, and Consulting
  • Industries
    IT Services and IT Consulting, Data Infrastructure and Analytics, and Business Consulting and Services

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