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Senior Data Modeler – Databricks
Clarkston ConsultingSenior 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.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data modeling, data pipeline optimization, and data architecture, with a strong focus on SQL and big data technologies. Proven ability to lead and mentor teams while collaborating with cross-functional stakeholders to deliver effective data solutions.
Highest-signal resume keywords
Data ModelingSQL ProficiencyBig Data Pipeline OptimizationCloud Services (Azure/AWS)Team Leadership and Mentoring
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
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
Tools & Technologies
AzureAWSRelational DatabasesData SolutionsData Architecture
Industry Keywords
Data EngineeringData AnalyticsData Delivery ArchitectureCross-Functional TeamsMetadata Management
Tech Stack
Tools & technologiesAWSAzureCloudJavaPythonScalaSQL
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