Head Of Cloud Platform & Security, Specialist Solution Architect, Field Engineering
Current
Jan 2023 - Present
AeroLeads people directory · profile
Joel Thomas Email & Phone Number
Director, Data & AI - Cloud Platform & Security, Databricks
at
Databricks
1 work email found
@databricks.com
2 phones found area 571
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✓ Verified July 2026
4 data sources
Profile completeness 100%
Current company
Role
Director, Data & AI - Cloud Platform & Security, Databricks
Location
Washington Dc-Baltimore Area, United States
Company size
Who is Joel Thomas? Overview
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Quick answer
Joel Thomas is listed as Director, Data & AI - Cloud Platform & Security, Databricks at Databricks, a with 51 employees, based in Washington Dc-Baltimore Area, United States. AeroLeads shows a work email signal at databricks.com, phone signal with area code 571, and a matched LinkedIn profile for Joel Thomas.
Joel Thomas previously worked as Head of Cloud Platform & Security, Specialist Solution Architect, Field Engineering at Databricks and Head of Databricks on GCP, Solution Architecture and Field Engineering at Databricks. Joel Thomas holds Lead - Executive Education, Leadership And Business from Stanford University Graduate School Of Business.
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{first}.{last}@databricks.com
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Profile bio
About Joel Thomas
I'm a passionate Data & AI leader, architecting solutions that drive business values from Data. I lead a team of cloud platform & security specialist solutions architects spanning across all industry verticals (Finance, HLS, Manufacturing, CME, Retail, various enterprise to digital natives)Previously, as a principal leader at Micron, I have scaled data science and smart manufacturing teams' technical efforts, which were distributed across 8 different locations in 4 countries. Architected and developed to productize Machine Learning and Artificial Intelligence solutions in scientific and engineering environments. By having high proficiency in advanced analytics, algorithms, software development, and resource management, I take an idea and iterate faster from a prototype to an MVP to production, which is stable, scalable, and easy to maintain.18+ years of professional experience in Data Analytics, Software Programming, and Scientific Engineering. Intellection, Strategic, Ideation, Learner, and Deliberative are my top 5 strengths based on Gallup StrengthsFinder. I do science with a slice of imagination and a pi of creativity.
Listed skills include Python, Machine Learning, Artificial Intelligence, Matlab, and 39 others.
Current workplace
Joel Thomas's current company
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Databricks
12 roles
Joel Thomas work experience
A career timeline built from the work history available for this profile.
Head Of Databricks On Gcp, Solution Architecture And Field Engineering
Leading a team of GCP Specialist Solution Architects that brings the best-in-class experience for Databricks customers on GCP. Built the stream as a founding team member from Day 0 before launch, through previews and GA. Our team works closely with the field, product, and engineering teams at both Databricks and Google to provide a well architected and seamlessly integrated solution, which is easy to build and manage, so that customers can focus on their business use cases to drive value through Data & AI.
Feb 2021 - Jan 2023
Head Of Azure Databricks, Solution Architecture And Field Engineering, Americas East, Latam
Leading a team of Data & AI solutions architect for enterprise customers, spanning across all industry verticals, using Azure and databricks across Eastern US, Eastern Canada & LATAM.
Aug 2020 - Feb 2021
Senior Solutions Architect - Azure Databricks Specialist
Feb 2019 - Aug 2020
Principal Architect And Data Scientist
Leader of technical charter of central AI & Smart Manufacturing team, that helped to scale data science teams and initiatives across 8 different manufacturing facilities in 4 different countries. These teams developed automated mission critical smart manufacturing capabilities and analytical solutions that catered to over 8000 process and equipment engineers.Architected and developed a novel solution that helps to abstract machine learning model building from analytical pipeline. This helps data scientists to be substantially productive and focus on building models in various environments from VMs/Dockers, Hadoop Cluster & GPU.Frequently sought after to guide team members and build their talents to contribute towards solution that is modular, scalable, stable and easy to maintain.
Sep 2016 - Feb 2019
Senior Architect And Data Scientist
- One of the pioneer of data science at Micron worldwide.- Architected and implemented various hybrid analytical solutions using big data (Spark, Hadoop) and small data (Python, R) tools.- Tested and benchmarked various analytical tools and libraries for custom needs to deliver optimal solutions.- Full stack analytics development: ○ Streaming data from equipment sensors, logs, images and persisting in HDFS, Hbase, Hive, etc. ○ Advanced data analytics including image processing (OpenCV) in Hadoop. ○ Implemented predictive analytics using Python & Spark Machine Learning libraries. ○ Frontend representation of data for descriptive and interactive analytics using javascript libraries such as D3, custom HTML5 canvas visualization, iPython (Jupyter) notebooks, etc. - Other interests include Deep Learning and Graph Analytics.
Dec 2013 - Sep 2016
Data Analytics Application Engineer
Designed and developed suite of engineering analytics tool that is used by various groups of research and process engineers. Application used by 1000's of engineers worldwide across Micron network. - Real time data collection from manufacturing equipment tool and sensor logs. - Integrated analytics with time series analysis, variability analysis, prescriptive analytics with auto commonality, statistical process control, etc. - Built interactive descriptive analytic tools with various javascript libraries in canvas and D3 with backend analytics done in R and Python. - Implemented easy to setup and configurable controls and alarms from analytics.
Jan 2012 - Dec 2013
Semiconductor Process Engineer
Statistical process control of semiconductor manufacturing by analyzing data, design of experiments, etc. Developed utilities to automate day to day analytics.
Sep 2010 - Jan 2012
Analytics Application Engineer - Intern
Implemented custom analytical tools for machine generated data (ASML photolithography tools) which help both equipment and process teams.
Feb 2010 - Sep 2010
Research Assistant
Electrochemical Nanofabrication And Nanomaterials Synthesis Laboratory
- Developed computational algorithm predicting Cu Surface Morphology Evolution during Electropolishing and its simulation by image analysis in Matlab.- Simulation tool used for research by DOE at Jefferson National Lab for particle accelerator design.Conferences and Publications:- Simulation of Cu Surface Morphology Evolution during Electropolishing, J. Thomas and S.R. Brankovic, 217th Electrochemical Society Meeting, Vancouver, Canada, April 2010.- Computational Algorithm Predicting Surface Morphology Evolution During Electropolishing, J. Thomas, C. Reece, and S.R. Brankovic, 6th SRF Materials Workshop, Tallahassee, FL, Feb. 2010.- Modeling of Copper Surface Morphology Evolution during Electropolishing, J. Thomas and Stanko R. Brankovic at 38th Semi-annual TcSUH Student Symposium, Houston, TX Dec. 2009.- Modeling of Copper Surface Morphology Evolution during Electropolishing, J. Thomas and Stanko R. Brankovic at First International Symposium on Nanotechnology, Energy and Space, Houston, TX Oct. 2009.- Modeling of Cu Surface Morphology Evolution during Electropolishing, J. Thomas and Stanko R. Brankovic at Graduate Research Conference, Houston, TX May 2009.
Jun 2008 - Jan 2010
Statistical Analyst
- Performed statistical analysis on research data and surveys conducted at UH using statistical software (SPSS, etc.).- Chi-square tests, reliability tests, factor analysis, regression analysis, etc.
Jan 2008 - Dec 2008
Software Engineer
- Software application development, maintenance and testing at CMMI level 5.- Data analysis using DB2, SQL.
Nov 2005 - Jul 2007
Team & coworkers
Colleagues at Databricks
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GH
Gregory Hansen
Colleague at DatabricksMiami, Florida, United States
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HC
Himanshi Chaudhary
Colleague at DatabricksPune, Maharashtra, India
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JP
Jay Prakash Chaurasiya
Colleague at DatabricksLucknow, Uttar Pradesh, India
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GF
Griffin Fess
Colleague at DatabricksSan Francisco, California, United States
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SS
Sheila Stewart (Shah)
Colleague at DatabricksDunn Loring, Virginia, United States
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EZ
Earl Zaromb
Colleague at DatabricksBrooklyn, New York, United States
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IJ
In Jin Zaw
Colleague at DatabricksSingapore
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RD
Ryan Domin
Colleague at DatabricksSt Paul, Minnesota, United States
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AK
Andrei Kostunin
Colleague at DatabricksMontreal, Quebec, Canada
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BC
Bryan Christofferson
Colleague at DatabricksAustin, Texas, United States
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Gregory Hansen
Colleague at DatabricksMiami, Florida, United States
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HC
Himanshi Chaudhary
Colleague at DatabricksPune, Maharashtra, India
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JP
Jay Prakash Chaurasiya
Colleague at DatabricksLucknow, Uttar Pradesh, India
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GF
Griffin Fess
Colleague at DatabricksSan Francisco, California, United States
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SS
Sheila Stewart (Shah)
Colleague at DatabricksDunn Loring, Virginia, United States
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EZ
Earl Zaromb
Colleague at DatabricksBrooklyn, New York, United States
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IJ
In Jin Zaw
Colleague at DatabricksSingapore
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RD
Ryan Domin
Colleague at DatabricksSt Paul, Minnesota, United States
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AK
Andrei Kostunin
Colleague at DatabricksMontreal, Quebec, Canada
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BC
Bryan Christofferson
Colleague at DatabricksAustin, Texas, United States
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3 education records
Joel Thomas education
Lead - Executive Education, Leadership And Business
Stanford University Graduate School Of Business
Master Of Science, Electrical Engineering
University Of Houston
Bachelor Of Engineering, Electrical And Electronics Engineering
Sathyabama University
FAQ
Frequently asked questions about Joel Thomas
Quick answers generated from the profile data available on this page.
What company does Joel Thomas work for?
Joel Thomas works for Databricks.
What is Joel Thomas's role at Databricks?
Joel Thomas is listed as Director, Data & AI - Cloud Platform & Security, Databricks at Databricks.
What is Joel Thomas's email address?
AeroLeads has found 1 work email signal at @databricks.com for Joel Thomas at Databricks.
What is Joel Thomas's phone number?
AeroLeads has found 2 phone signal(s) with area code 571 for Joel Thomas at Databricks.
Where is Joel Thomas based?
Joel Thomas is based in Washington Dc-Baltimore Area, United States while working with Databricks.
What companies has Joel Thomas worked for?
Joel Thomas has worked for Databricks, Micron Technology, Electrochemical Nanofabrication And Nanomaterials Synthesis Laboratory, University Of Houston, and Infosys.
Who are Joel Thomas's colleagues at Databricks?
Joel Thomas's colleagues at Databricks include Gregory Hansen, Himanshi Chaudhary, Jay Prakash Chaurasiya, Griffin Fess, and Sheila Stewart (Shah).
How can I contact Joel Thomas?
You can use AeroLeads to view verified contact signals for Joel Thomas at Databricks, including work email, phone, and LinkedIn data when available.
What schools did Joel Thomas attend?
Joel Thomas holds Lead - Executive Education, Leadership And Business from Stanford University Graduate School Of Business.
What skills is Joel Thomas known for?
Joel Thomas is listed with skills including Python, Machine Learning, Artificial Intelligence, Matlab, Simulations, R, Hadoop, and Sql.
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