Top 1 data modeler Jobs in louisville ky

Senior Data Modeler
BrightSpring Health Services —Louisville, KY
- Full-time
- 7 years
- Computer Science
- DevOps

Discover related jobs

Based on your search for data modeler jobs.

Health Data Analyst - AI Trainer
DataAnnotation —Louisville, KY
A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.
$40 - $60 an hour
Quick Apply
Financial Analyst - AI Trainer
DataAnnotation —Louisville, KY
A bachelor's degree is required, and a completed or in-progress master's or PhD is preferred. Proficiency in accounting, financial analysis, financial modeling,…
$50 - $60 an hour
Quick Apply
5d

I want to receive the latest job alert for data modeler in louisville ky

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

data modeler jobs near louisville ky

Senior Data Modeler jobs in New Orleans, La

Senior Software Engineer jobs in Minneapolis, Mn

Senior Data Modeler jobs in Texas

Senior Driver jobs in Baltimore, Md

Senior Data Modeler jobs in Mount Laurel, Nj

Senior Center jobs in San Antonio, Tx

Senior Data Modeler

BrightSpring Health Services -
Louisville, KY

Apply Now

Job Details

Full-time

Qualifications

Cloud analytics services
Continuous Delivery (CD) implementation
Scalable systems
SQL
Data Architecture Design (Architecture design skills)
Scalability
System deployment
DevOps automation
Managing cloud database deployments

Full Job Description

Our Company:

BrightSpring Health Services

Overview:

We are seeking a highly skilled Senior Data Modeler to join our Data Engineering & Architecture team. This role will play a critical part not only in designing, developing, and maintaining logical and physical data models, but also in architecting, building, and optimizing the data pipelines and platforms that power our enterprise data warehouse, analytics ecosystem, and business intelligence solutions. This position ensures that data assets are structured, engineered, and delivered in a scalable, high performance, and user-friendly manner across the organization.

Responsibilities:

Design, implement, and optimize conceptual, logical, and physical data models to support enterprise reporting, analytics, and data science use cases.
Collaborate with data engineers, business analysts, and business stakeholders to translate business requirements into robust data structures.
Define and enforce data modeling standards, best practices, and naming conventions across the organization.
Develop and maintain data dictionaries, ER diagrams, and metadata documentation to ensure clarity and consistency.
Analyze existing data models and workflows to identify opportunities for improvement in performance, scalability, and maintainability.
Contribute to the development of enterprise data architecture patterns and reusable modeling frameworks.
Architect, build, and optimize scalable ETL/ELT pipelines using modern data engineering frameworks and cloud technologies.
Lead the design and development of distributed data processing workflows using Databricks, PySpark, Azure SQL and/or Azure Synapse.
Develop and optimize data ingestion frameworks (batch and streaming) from diverse sources including FHIR, APIs, files, databases, and event streams.
Ensure data pipelines meet enterprise standards for performance, reliability, observability, and recoverability.
Perform advanced SQL, PySpark, or Python optimization to maximize query speed and dataset availability for analytics and downstream applications.
Oversee data lake and data warehouse architecture, including partitioning strategies, delta lake management, schema evolution, and performance tuning.
Troubleshoot, diagnose, and resolve complex data engineering and pipeline issues across cloud environments.
Mentor junior engineers and modelers, influencing engineering patterns, coding standards, and architectural direction.
Collaborate with security teams to implement proper access controls, encryption, secrets management, and compliance processes.

Qualifications:

Bachelor’s degree in Computer Science, Information Systems, Data Management, or related field (or equivalent experience).
7–10 years of experience in data modeling, data engineering, dimensional modeling, or data architecture roles.
Strong knowledge of relational, dimensional, and NoSQL data modeling techniques.
Advanced SQL skills and experience designing for cloud data platforms (Databricks, Synapse, Azure SQL Databases, Redshift, BigQuery, or similar).
Expertise in building scalable ETL/ELT processes using modern data engineering tools (Azure Data Factory, Databricks, Synapse Pipelines, SSIS, etc.).
Strong proficiency with Python, PySpark, or Scala for data engineering and scripting.
Hands-on experience with Azure cloud data services: Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage Gen2, Databricks.
Experience designing and optimizing data lakes, delta lakehouse architectures, and large-scale distributed data systems.
Experience working with DevOps concepts—CI/CD pipelines, Git branching strategies, automated testing, and deployment.
Ability to orchestrate and influence remote teams, ensuring successful implementation of complex data solutions.
Detail-oriented with excellent organizational skills.
Effective working in a cross-functional, dynamic, and remote environment.
Strategic thinker with the ability to balance short-term deliverables with long-term platform evolution.

Preferred

Hands-on experience designing, building, and operationalizing unified data platforms, including semantic layers, ontologies, and knowledge graphs, to enable AI/ML product development.
Experience with enterprise-scale analytics environments and BI tools (Power BI, Qlik, Tableau, Databricks AI/BI Dashboards).
Exposure to data governance, data cataloging, and MDM practices.
Knowledge of data vault modeling, star schema, and snowflake modeling.
Experience designing real-time/streaming data pipelines (Kafka, Event Hubs, Spark Streaming, etc.).
Familiarity with API platforms and tools such as Postman or API gateways.
Experience tuning large-scale Spark workloads and optimizing cloud compute costs.
Strong communication and collaboration skills across both technical and non-technical teams.

Key Competencies

Analytical and meticulous mindset with a strong ability to solve complex data design and engineering challenges.
Ability to balance short-term deliverables with long-term enterprise strategy.
Strong documentation and communication skills for presenting technical concepts to non-technical audiences.
Leadership qualities with the ability to mentor and guide junior team members.
Ability to think holistically across data modeling, data engineering, and data architecture disciplines.

About our Line of Business: BrightSpring Health Services provides complementary home- and community-based health solutions for complex populations in need of specialized and/or chronic care. Through the Company’s service lines, including pharmacy, home health care, and rehabilitation, we provide comprehensive and more integrated care and clinical solutions in all 50 states to over 475,000 customers, clients and patients daily. BrightSpring has consistently demonstrated strong and industry-leading quality metrics across its services lines, while improving the health and quality of life for high-need individuals and reducing overall healthcare system costs. For more information, please visit www.brightspringhealth.com. Follow us on Facebook, LinkedIn, and X.

Apply Now

Refine Your Search

data modeler jobs in louisville ky

Senior Data Modeler

Discover related jobs

I want to receive the latest job alert for data modeler in louisville ky

Explore jobs in more locations

Job Seeker Tools

Employer Tools

Browse

Stay Connected