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Clarkston Consulting

Senior Data Modeler – Databricks

Clarkston Consulting

Senior Data Modeler delivering data solutions for life sciences and retail industries at Clarkston Consulting. Leading data initiatives and mentoring engineering teams in a hybrid work environment.

Posted 7/6/2026full-timeAustin • Florida, Texas • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies
AWSAzureCloudJavaPythonScalaSQL

About the role

Key responsibilities & impact
  • Support our solution architects, software developers, data analysts and data scientists on data and analytics initiatives
  • Serve in a lead capacity on client initiatives
  • Ensure optimal data delivery architecture is consistent throughout ongoing projects
  • Be self-directed and comfortable supporting the data needs of multiple teams, systems, and products
  • Be excited by the prospect of building our company’s data engineering capabilities to support our next generation of products and data initiatives
  • Lead, grow, and mentor a data engineering team in developing, maintaining, and monitoring data solutions for clients
  • Assist in defining client solutions and support managing their delivery

Requirements

What you’ll need
  • 3+ years of experience in a Data Modeler role
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
  • Strong analytic skills related to working with unstructured datasets
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management
  • A successful history of manipulating, processing and extracting value from large disconnected datasets
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • Experience with Azure or AWS cloud services
  • Experience with object-oriented/object function scripting languages such as Scala, Python, Java, and / or C++
  • Graduate degree in Computer Science, Statistics, Informatics, Information Systems or an equivalent field

Benefits

Comp & perks
  • Comprehensive Health and Wellness Benefits (Medical, Dental, Vision, and more)
  • 401k with company contributions
  • Paid vacation, personal days, holidays, and sick leave
  • Paid Parental Leave and Family Building Benefits (Adoption, Surrogacy, and Infertility Support)
  • Life and Disability Insurance
  • Training and Professional Development investments, Tuition Assistance, and more

ATS Keywords

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Hard Skills & Tools
Data ModelingSQLBig Data Pipeline DevelopmentData TransformationRoot Cause AnalysisUnstructured Data AnalysisMessage QueuingStream ProcessingObject-Oriented Programming (Scala, Python, Java, C++)Relational Databases
Soft Skills
Analytic SkillsSelf-DirectedCollaboration