Presales Solutions Architect

Tenth Revolution Group; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Tenth Revolution Group is seeking a Solutions Architect to blend technical depth with customer-facing leadership in its growing data & cloud practice. The role focuses on guiding clients through data initiatives, shaping proposals, and delivering scalable architectures across modern data platforms.

You will lead technical engagements, articulate service portfolios, and build trusted advisor relationships while collaborating with cross-functional teams.

Qualifications

• 5+ years of combined experience in Solutions Architecture and Data Engineering.
• Proven track record expanding enterprise accounts and cross/upsell opportunities.
• Strong data migration experience in large-scale production environments.
• Previous pre-sales experience with client-facing and sales-oriented mindset.
• Hands-on experience with Snowflake, AWS, Azure, or Databricks.
• Advanced SQL for complex queries and performance tuning.
• Excellent communication with senior stakeholders.

Responsibilities

• Lead the technical sales lifecycle from discovery to post-sale handoff and growth.
• Articulate services across Managed Services, Data Engineering, and ML to diverse stakeholders.
• Build strong customer relationships and act as trusted data advisor.
• Support PoCs and short engagements to validate designs and drive momentum.
• Collaborate with AEs and delivery leads to craft SOWs and proposals.
• Represent the company at industry events and conferences.
• Translate business objectives into actionable data engineering strategies.
• Manage expectations and assist with escalations or project alignment.
• Scope complex data initiatives and define approaches for enterprise platforms.

Skills

Solution architecture

Data engineering

Snowflake

AWS

Azure

Databricks

SQL

Executive communication

Account expansion

Pre-sales

Tools

Snowflake

AWS

Azure

Databricks

Job description

Location: Remote (U.S.) | Travel: ~20-30% for short on‑site customer visits

We're partnering with a rapidly growing data & cloud consultancy that is expanding its pre-sales organization. They are looking for a Solutions Architect who can blend technical depth with customer-facing leadership to support new business, guide clients through complex data initiatives, and ensure long-term success across their modern data platform offerings.

What You’ll Do

• Lead the technical sales lifecycle from initial discovery through post‑sale handoff and customer growth initiatives.
• Clearly articulate a portfolio of services across Managed Services, Data Engineering, and Machine Learning Engineering to both technical and non‑technical stakeholders.
• Build strong, strategic relationships with customers while acting as a trusted advisor throughout their data journey.
• Support proof‑of‑concepts and short technical engagements that validate solution design and drive deal momentum.
• Partner closely with account executives and delivery leaders to craft Statements of Work (SOWs) and shape solution proposals.
• Represent the company at industry events, conferences, meetups, and speaking engagements to enhance brand presence.
• Translate high‑level business objectives into actionable, scalable data engineering strategies and architectures.
• Manage customer expectations, provide post‑sales support when needed, and assist with escalations or project alignment.
• Scope complex data initiatives and define the right technical approach for enterprise‑scale platform implementations.

What You Bring

• 5+ years of combined experience as a Solutions Architect and Data Engineer, with a track record of designing and supporting modern cloud data platforms.
• Experience expanding enterprise accounts, nurturing long‑term customer relationships, and identifying opportunities to cross‑sell or up‑sell services.
• Strong background in data migration within large‑scale production environments.
• Previous technical pre‑sales experience with a strong blend of technical depth, customer engagement, and sales‑oriented thinking.
• Expertise with modern data platforms and cloud technologies such as Snowflake, AWS, Azure, or Databricks.
• Advanced SQL abilities, including writing, debugging, and optimizing distributed or complex queries.
• Exceptional communication skills and the ability to engage confidently with senior stakeholders.
• Demonstrated experience defining large‑scale solutions and scoping engineering activities for complex projects.
• Willingness to travel for short client meetings (typically 1-2 day trips, ~20-30%).