Pre-Sales Leader – Data Architect

Location - Remote (Preferably Dallas, Texas or East coast)
Position Overview
We are seeking an experienced Pre-Sales Leader – Data Architect to serve as a trusted advisor to clients and support sales teams in driving data and analytics opportunities from qualification through solutioning and deal closure.
The ideal candidate brings deep expertise in modern cloud data platforms, particularly Snowflake and Databricks, combined with strong business consulting, solution architecture, and stakeholder management capabilities. This individual will work closely with Sales, Client Partners, Delivery Leaders, and Technical Teams to shape winning solutions, create compelling value propositions, and ensure seamless transition from pre-sales to execution.
Key Responsibilities:
Pre-Sales & Solution Consulting
Partner with Sales and Account Teams to identify, qualify, and pursue data, analytics, AI, and modernization opportunities.
Lead discovery workshops to understand client business objectives, technical landscape, and transformation priorities.
Translate business requirements into scalable data architecture and solution designs.
Develop solution proposals, statements of work (SOWs), effort estimates, and technical presentations.
Support RFP, RFI, and RFQ responses with architecture, delivery approach, and technical differentiators.
Present and defend solution recommendations to client executives, business stakeholders, and technical leadership.
Data Architecture Leadership
Design enterprise-scale data platforms leveraging Snowflake, Databricks, cloud-native services, and modern data engineering practices.
Define architecture blueprints for data warehousing, data lakes, lakehouse architectures, data governance, and analytics ecosystems.
Provide guidance on data migration, modernization, integration, and platform optimization initiatives.
Establish best practices for scalability, security, performance, reliability, and cost optimization.
Sales & Client Engagement
Act as a trusted advisor to client stakeholders, including CIOs, CDOs, Data Leaders, and Enterprise Architects.
Help articulate business value, ROI, and transformation outcomes.
Participate in executive presentations, solution demonstrations, and strategic workshops.
Support deal strategy, competitive positioning, and solution differentiation.
Delivery Collaboration
Work closely with Delivery and Engineering teams to validate solution feasibility and implementation approaches.
Ensure smooth handoff of won opportunities to delivery organizations.
Provide architectural oversight during project initiation and critical phases.
Support governance and risk mitigation activities for strategic engagements.
Practice Development
Contribute to development of reusable assets, reference architectures, accelerators, and solution offerings.
Mentor architects, consultants, and pre-sales team members.
Stay current with emerging technologies, industry trends, and cloud platform innovations.
Required Qualifications:
15+ years of experience in Data Engineering, Data Architecture, Analytics, or related technology consulting roles.
Proven experience in a client-facing pre-sales, solution consulting, or architecture leadership role.
Strong expertise in Snowflake and Databricks architecture, implementation, and optimization.
Experience designing enterprise data platforms and large-scale modernization programs.
Deep understanding of:
▸Data Warehousing
▸Data Lakes & Lakehouse Architectures
▸Data Integration & ETL/ELT
▸Data Governance & Data Quality
▸Business Intelligence & Analytics
▸Cloud Data Platforms
Hands-on experience with one or more cloud platforms:
AWS
Microsoft Azure
Google Cloud Platform (GCP)
Experience supporting:
RFP/RFI responses
Solution estimation
Proposal development
Executive presentations
Preferred Qualifications
Experience with AI/ML, GenAI, and advanced analytics architectures.
Industry experience in Financial Services, Healthcare, Retail, Manufacturing, or Technology sectors.
Snowflake and/or Databricks certifications preferred.
Cloud certifications (AWS/Azure/GCP) are a plus.

Work arrangement
Yes