Principal Presales Architect - Data, AI & Modernization

Tredence Inc.; Dallas (TX); On-site; USD 140,000 - 200,000; Full time

Job summary

Tredence Inc. seeks a seasoned Principal Presales Architect to lead customer engagements across Data, AI, and Cloud Modernization initiatives.

This role combines deep technical expertise with business consulting, helping enterprise clients envision, design, and adopt modern data platforms powered by Databricks, Snowflake, Cloud, and AI technologies. You will work closely with sales, delivery, alliances, and executive stakeholders to shape transformational solutions, lead discovery workshops,

Qualifications

• 12+ years of experience in Data & Analytics, Cloud, or AI architecture.
• 5+ years of customer-facing Presales, Solutions Consulting, or Solution Architecture experience.
• Strong expertise in Databricks Lakehouse Platform.
• Hands-on experience with Delta Lake, Unity Catalog, Databricks Workflows, and performance optimization.
• Proven experience with Snowflake and modern data warehousing.
• Expertise in AWS, GCP, or Azure cloud ecosystems.
• Experience leading large-scale data modernization and migration programs.
• Strong understanding of enterprise integration, data governance, security, and architecture best practices.
• Exceptional communication, presentation, and stakeholder management skills.

Responsibilities

• Lead technical presales engagements for Data & AI opportunities.
• Design enterprise-scale modern data platforms using Databricks, Snowflake, and cloud-native technologies.
• Define data modernization and migration strategies from legacy platforms to Lakehouse architectures.
• Conduct executive workshops, solution envisioning sessions, and customer presentations.
• Build compelling PoCs, demos, accelerators, and reusable solution assets.
• Architect GenAI, LLM, and RAG-based enterprise solutions.
• Collaborate with Sales, Delivery, Product, and Partner teams to create winning proposals and responses.
• Develop industry-specific solution offerings within Retail, CPG, Manufacturing, and BFSI domains.
• Provide technical leadership during pursuits, solution reviews, and deal shaping activities.

Skills

Databricks Lakehouse

Presales leadership

Cloud architecture

Delta Lake

Snowflake

AWS/GCP/Azure

Executive engagement

Stakeholder management

Tools

Databricks

Snowflake

AWS

GCP

Azure

Job description

We are looking for a seasoned Principal Presales Architect to lead customer engagements across Data, AI, and Cloud Modernization initiatives. This role combines deep technical expertise with business consulting, helping enterprise clients envision, design, and adopt modern data platforms powered by Databricks, Snowflake, Cloud, and AI technologies.

You will work closely with sales, delivery, alliances, and executive stakeholders to shape transformational solutions, lead discovery workshops, create compelling solution narratives, conduct demos, and influence strategic customer decisions.

Key Responsibilities

• Lead technical presales engagements for Data & AI opportunities.
• Design enterprise-scale modern data platforms using Databricks, Snowflake, and cloud-native technologies.
• Define data modernization and migration strategies from legacy platforms to Lakehouse architectures.
• Conduct executive workshops, solution envisioning sessions, and customer presentations.
• Build compelling PoCs, demos, accelerators, and reusable solution assets.
• Architect GenAI, LLM, and RAG-based enterprise solutions.
• Collaborate with Sales, Delivery, Product, and Partner teams to create winning proposals and responses.
• Develop industry-specific solution offerings, particularly within Retail, CPG, Manufacturing, and BFSI domains.
• Provide technical leadership during pursuits, solution reviews, and deal shaping activities.

Required Qualifications

• 12+ years of experience in Data & Analytics, Cloud, or AI architecture.
• 5+ years of customer-facing Presales, Solutions Consulting, or Solution Architecture experience.
• Strong expertise in Databricks Lakehouse Platform.
• Hands-on experience with Delta Lake, Unity Catalog, Databricks Workflows, and performance optimization.
• Proven experience with Snowflake and modern data warehousing.
• Expertise in AWS, GCP, or Azure cloud ecosystems.
• Experience leading large-scale data modernization and migration programs.
• Strong understanding of enterprise integration, data governance, security, and architecture best practices.
• Exceptional communication, presentation, and stakeholder management skills.

Preferred Qualifications

• Experience with Apache Iceberg and open table formats.
• Hands-on knowledge of GenAI, LLMs, RAG architectures, Vector Databases, and Conversational AI.
• Experience building accelerators, migration factories, or reusable frameworks.
• Industry experience in Consumer Packaged Goods (CPG), Retail, Manufacturing, or BFSI.
• Prior experience with global consulting or technology organizations.

Preferred Certifications

• Databricks Certified Professional
• AWS Solutions Architect
• Google Professional Cloud Architect
• Microsoft Azure Solutions Architect

What Success Looks Like

• Confidently leads executive-level customer discussions.
• Demonstrates deep Databricks and modern data platform expertise.
• Creates compelling AI and modernization solution strategies.
• Builds trust with both business and technical stakeholders.
• Influences and helps close strategic multi-million-dollar data transformation opportunities.