Jon Kelley
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Jon Kelley Email & Phone Number

Solutions Architect | Data & AI @ Databricks at Databricks
Location: Dallas, Texas, United States 6 work roles 2 schools
1 work email found @databricks.com 3 phones found area 214 and 206 LinkedIn matched
✓ Verified August 2026 4 data sources Profile completeness 100%

Contact Signals · 1 work email · 3 phones

Work email j****@databricks.com
Direct phone (214) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
Solutions Architect | Data & AI @ Databricks
Location
Dallas, Texas, United States
Company size

Who is Jon Kelley? Overview

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Quick answer

Jon Kelley is listed as Solutions Architect | Data & AI @ Databricks at Databricks, a with 51 employees, based in Dallas, Texas, United States. AeroLeads shows a work email signal at databricks.com, phone signal with area code 214, 206, and a matched LinkedIn profile for Jon Kelley.

Jon Kelley previously worked as Solutions Architect at Databricks and Sr. Customer Success Engineer at Databricks. Jon Kelley holds Master Of Science, Applied Statistics from The University Of Texas At Dallas.

Company email context

Email format at Databricks

This section adds company-level context without repeating Jon Kelley's masked contact details.

{first}.{last}@databricks.com
89% confidence

AeroLeads found 1 current-domain work email signal for Jon Kelley. Compare company email patterns before reaching out.

Profile bio

About Jon Kelley

I design data solutions that unify builders and problem solvers

Listed skills include Statistics, Business Intelligence, Machine Learning, Amazon Web Services, and 14 others.

Current workplace

Jon Kelley's current company

Company context helps verify the profile and gives searchers a useful next step.

Databricks
Databricks
Solutions Architect | Data & AI @ Databricks
160 Spear Street 13th Floor San Francisco, CA 94105 United States
Website
Employees
51
AeroLeads page
6 roles

Jon Kelley work experience

A career timeline built from the work history available for this profile.

Solutions Architect

Current

San Francisco, Ca, Us

Oct 2022 - Present

Sr. Customer Success Engineer

San Francisco, Ca, Us

Feb 2022 - Oct 2022

Customer Success Engineer

San Francisco, Ca, Us

Jun 2020 - Feb 2022

Consultant | Data Science

Seattle, Wa, Us

Sep 2017 - Jun 2020
Team & coworkers

Colleagues at Databricks

Other employees you can reach at databricks.com. View company contacts for 51 employees →

2 education records

Jon Kelley education

Master Of Science, Applied Statistics

The University Of Texas At Dallas

Bachelor Of Science, Mathematics

Texas Tech University
FAQ

Frequently asked questions about Jon Kelley

Quick answers generated from the profile data available on this page.

What company does Jon Kelley work for?

Jon Kelley works for Databricks.

What is Jon Kelley's role at Databricks?

Jon Kelley is listed as Solutions Architect | Data & AI @ Databricks at Databricks.

What is Jon Kelley's email address?

AeroLeads has found 1 work email signal at @databricks.com for Jon Kelley at Databricks.

What is Jon Kelley's phone number?

AeroLeads has found 3 phone signal(s) with area code 214, 206 for Jon Kelley at Databricks.

Where is Jon Kelley based?

Jon Kelley is based in Dallas, Texas, United States while working with Databricks.

What companies has Jon Kelley worked for?

Jon Kelley has worked for Databricks, Slalom, Wci Data Solutions, and Lewis & Ellis - Actuaries And Consultants.

Who are Jon Kelley's colleagues at Databricks?

Jon Kelley's colleagues at Databricks include Renjish Abraham, Peter Feng, Barbara Luz, Debjyoti Roy, and Akshay B Darji.

How can I contact Jon Kelley?

You can use AeroLeads to view verified contact signals for Jon Kelley at Databricks, including work email, phone, and LinkedIn data when available.

What schools did Jon Kelley attend?

Jon Kelley holds Master Of Science, Applied Statistics from The University Of Texas At Dallas.

What skills is Jon Kelley known for?

Jon Kelley is listed with skills including Statistics, Business Intelligence, Machine Learning, Amazon Web Services, Python, R, Cloud Computing, and Data Analysis.

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