Databricks Solutions Architect

MathCo; Chicago (IL); On-site; USD 150,000 - 190,000; Full time

Job summary

MathCo in the United States is seeking a Presales Solutions Architect, Databricks, to lead architecture discussions, qualify opportunities, and design enterprise data and AI solutions across cloud platforms.

The role requires strong communication, hands-on Databricks expertise, and collaboration with Databricks field teams, sales, and clients to translate business needs into scalable technical roadmaps.

Qualifications

• 8+ years in Solutions Architecture or related client-facing roles.
• Hands-on with Databricks and Lakehouse architecture.
• Strong Python, SQL, Spark, PySpark experience.
• Experience supporting enterprise sales cycles and tech evaluations.
• Ability to translate technical architectures to business value.

Responsibilities

• Lead technical discussions and architecture for strategic pursuits.
• Qualify opportunities and design scalable Databricks-based solutions.
• Partner with MathCo and Databricks teams to win complex deals.

Skills

Databricks

Python

SQL

Spark

PySpark

AWS

Azure

GCP

Communication skills

Executive presentation

Education

Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or related discipline

Tools

Databricks Data Intelligence Platform

Job description

MathCo® (TheMathCompany) is a global Enterprise AI and Analytics company that partners with leading organizations to solve complex business problems through data, AI, and technology. Our teams combine deep domain expertise, advanced analytics, data engineering, and AI capabilities to help clients accelerate business outcomes and drive measurable impact.

As we continue expanding our Data & AI Platform practice, we are seeking experienced Databricks Solutions Architects to help clients modernize their data ecosystems and unlock the full potential of AI and advanced analytics.

Role Overview

As a Presales Solutions Architect, Databricks, you will serve as the technical lead across strategic pursuits, helping shape client vision, solution strategy, and architecture for enterprise data and AI transformations.

You will partner closely with Databricks account teams, MathCo sales and account leaders, clients, and solution experts to qualify opportunities, lead technical discussions, design winning solutions, and support complex enterprise sales cycles.

This role sits at the intersection of:

• Revenue Growth

The ideal candidate combines strong Databricks and cloud architecture expertise with exceptional client-facing communication skills and a passion for helping customers solve business challenges through data and AI.

Key Responsibilities

Presales & Opportunity Development

• Partner with MathCo account executives, partnership leaders, and Databricks sellers to support strategic pursuits and revenue growth.
• Serve as the technical lead during discovery sessions, executive meetings, workshops, and solution discussions.
• Qualify customer opportunities and identify where MathCo's data, AI, analytics, and engineering capabilities can create value.
• Help shape pursuit strategies, technical win themes, and solution differentiators.
• Support account planning activities with Databricks and MathCo field teams.
• Lead technical responses for proposals, RFPs, RFIs, and client presentations.
• Design scalable enterprise solutions leveraging Databricks and modern cloud data platforms.
• Data Modernization
• Lakehouse Architecture
• Data Governance
• Analytics Modernization
• Translate business objectives into technical architectures and implementation approaches.
• Create executive-ready presentations that connect technical investments to business outcomes and ROI.
• Advise clients on modernization strategies and platform adoption roadmaps.
• Build trusted relationships with CIOs, CDOs, Heads of Data & Analytics, and AI leaders.
• Collaborate with Databricks field sellers, solution architects, and partner teams on joint opportunities.
• Lead architecture workshops, vision sessions, and technical assessments.
• Participate in executive briefings, customer events, and industry forums.

Practice Enablement

• Contribute reusable assets, reference architectures, playbooks, and solution accelerators.
• Share market insights and customer feedback with delivery and capability teams.
• Support field enablement efforts around Databricks, GenAI, and modern data architecture.
• Mentor consultants and architects on solutioning best practices.

Required Qualifications

• 8+ years of experience in Solutions Architecture, Presales Engineering, Cloud Architecture, Technical Consulting, Customer Engineering, or related customer-facing technical roles.
• Hands‑on experience with the Databricks Data Intelligence Platform and Lakehouse architecture.
• Strong expertise in Python, SQL, Spark, and PySpark.
• Data Warehousing & Lakehouses
• AI/ML Platforms
• Generative AI
• Data Governance & Security
• Experience working with AWS, Azure, and/or Google Cloud Platform.
• Proven experience supporting enterprise sales cycles and strategic technology evaluations.
• Ability to connect technical architectures and transformation programs to business value and measurable outcomes.
• Strong communication, storytelling, and executive presentation skills.
• Experience leading customer‑facing workshops and architecture discussions.
• Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or a related discipline.

Preferred Qualifications

• Databricks certifications including Data Engineer, Solution Architect, ML Engineer, or related credentials.
• Experience working directly with Databricks field teams or within the Databricks partner ecosystem.
• Familiarity with Snowflake and modern cloud data ecosystems.
• Consulting or professional services experience supporting Fortune 500 organizations.
• Experience supporting Enterprise AI, Agentic AI, GenAI, and MLOps initiatives.
• Industry expertise in Retail, CPG, Manufacturing, Healthcare, Financial Services, or Technology.

What Success Looks Like

Within the first 12 months, this individual will:

• Become a trusted technical partner to both MathCo and Databricks field organizations.
• Influence and support strategic Databricks opportunities from qualification through close.
• Increase win rates through strong technical solutioning and executive engagement.
• Establish trusted advisor relationships with enterprise client stakeholders.
• Contribute directly to qualified pipeline, solution development, and revenue growth.
• Accelerate client adoption of Databricks, modern data platforms, and AI solutions.
• Create scalable assets and repeatable solution playbooks that strengthen MathCo's Data & AI practice.
• Help position MathCo as a preferred Databricks consulting and implementation partner in strategic accounts.