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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Modeler - **Company:** Apex Systems LLC - **Location:** Louisville, KY, United States (Remote available) - **Experience:** Expert - **Salary:** $156,000.0 - **Contract:** Temporary to permanent - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Computing Platforms, BigQuery, Cloud Computing, Information Systems, Databases, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Structures, Data Vault Modeling, Data Warehousing, DevOps, Digital Assets, Dimensional Modeling, Distributed Computing Environment, Graph Database, Python (Programming Language), Key Management, SQL Azure, NoSQL, Performance Tuning, Power BI, Cloud Services, SQL Databases, SQL Server Integration Services, Data Streaming, Tableau (Software), Azure Service Bus, Data Ingestion, Postman, Azure Data Factory, Fast Healthcare Interoperability Resources, Snowflake, Apache Spark, Data Layers, Data Lakes, Pyspark, Git Flow, Information Technology, Qlikview, Star Schema, Apache Kafka, Spark Streaming, Data Management, Physical Data Models, Api Gateway, Azure Synapse Analytics, Data Pipelines, Amazon Redshift, Databricks - **Published:** August 17, 2026 - **Apply:** https://www.juju.com/job/00000000gnk07p ## About the Role * Bachelor's degree in Computer Science, Information Systems, Data Management, or equivalent experience. * 7+ 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 expertise and experience designing for cloud data platforms such as Databricks, Synapse, Azure SQL, Redshift, or BigQuery. * Experience building scalable ETL/ELT pipelines using modern tools (Azure Data Factory, Databricks, Synapse Pipelines, SSIS, etc.). * Proficiency with Python, PySpark, or Scala. * Hands-on experience with Azure data services including Data Factory, Azure SQL, Synapse, Data Lake Storage Gen2, and Databricks. * Experience designing and optimizing data lake and lakehouse architectures. * Familiarity with CI/CD pipelines, Git workflows, and DevOps practices. * Ability to influence dispersed teams and drive complex implementations. * Strong attention to detail and organizational skills. * Comfortable working cross-functionally in a dynamic, remote environment. * Ability to balance near-term delivery with long-term platform evolution. Preferred * Experience designing unified data platforms, semantic layers, ontologies, or knowledge graphs that support AI/ML initiatives. * Experience with enterprise analytics and BI platforms such as Power BI, Tableau, Qlik, or Databricks AI/BI. * Exposure to data governance, cataloging, and MDM practices. * Knowledge of data vault, star schema, and snowflake modeling techniques. * Experience with real-time or streaming data pipelines using Kafka, Event Hubs, or Spark Streaming. * Familiarity with API platforms and tools such as Postman or API gateways. * Experience tuning Spark workloads and managing cloud compute costs. * Strong written and verbal communication skills across technical and non-technical audiences. Key Competencies * Detail-oriented, analytical mindset with the ability to solve complex data engineering and modeling challenges. * Ability to think holistically across data modeling, engineering, and enterprise architecture. * Strong documentation and communication skills. * Leadership capability with a focus on mentorship and technical guidance. * Strategic thinker who can align day-to-day execution with long-term enterprise data strategy. ## Description We are seeking a highly skilled Senior Data Modeler to join our Data Engineering & Architecture team. This role plays a critical part in designing, developing, and maintaining logical and physical data models, while also architecting, building, and optimizing the data pipelines and platforms that power our enterprise data warehouse, analytics ecosystem, and business intelligence solutions. This position ensures data assets are structured, engineered, and delivered in a scalable, high-performance, and user-friendly manner across the organization. Key Responsibilities Data Modeling * Design, implement, and optimize conceptual, logical, and physical data models to support enterprise reporting, analytics, and data science use cases. * Partner with data engineers, business analysts, and stakeholders to translate business needs into robust data structures. * Define and enforce data modeling standards, best practices, and naming conventions. * Develop and maintain data dictionaries, ER diagrams, and metadata documentation. * Evaluate existing data models and workflows to improve performance, scalability, and maintainability. * Contribute to enterprise data architecture patterns and reusable modeling frameworks. Data Engineering & Platform Architecture * 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 Azure Synapse. * Develop data ingestion frameworks (batch and streaming) from FHIR, APIs, files, databases, and event streams. * Ensure pipelines meet enterprise standards for reliability, performance, observability, and recoverability. * Optimize SQL, PySpark, and Python workloads for analytics and downstream consumption. * Oversee data lake and data warehouse architecture, including partitioning, schema evolution, delta lake management, and performance tuning. * Troubleshoot and resolve complex data pipeline and platform issues across cloud environments. * Mentor junior engineers and modelers, influencing engineering patterns and architectural direction. * Collaborate with security teams to enforce access controls, encryption, secrets management, and compliance requirements. ## Related Videos - [Are Your APIs Ready for AI Agents](https://www.wearedevelopers.com/videos/2004-are-your-apis-ready-for-ai-agents) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)