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# SENIOR DATA ARCHITECT - DIGITAL HEALTH

- **Company:** The System
- **Location:** Dayton, OH, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Business Analytics Applications, Data Analysis, Computer Vision, Microsoft Azure, Big Data, BigQuery, Cloud Database, Cloudera Impala, Computer Programming, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Data Warehousing, Database Development, Linux, Dimensional Modeling, EHealth, Apache Hadoop, Python (Programming Language), Machine Learning, NoSQL, Power BI, SQL Databases, Tableau (Software), Unstructured Data, Apache Spark, Information Technology, Data Analytics, Apache Kafka, Data Management, Tools for Reporting, Looker Analytics, Databricks, Programming Languages
- **Published:** May 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=292331db8e10cf3f

## About the Role

Do you have experience in SQL?, * Bachelor's Degree in IT, Computer Science, MIS, or related field

 * 5-7 years' experience in relevant data engineering/architecture roles
 * Proficiency in SQL, data analysis, and programming (Python/Scala)
 * Experience with Azure ecosystem, preferable
 * Knowledge of Linux OS
 * Familiarity with machine learning and data science concepts, Minimum Education: Bachelor's degree

Type of degree: Bachelor's degree

*** years of relevant work experience will be considered in lieu of formal college degree. ***Bachelors required

Area of study or major: Information Technology, Computer Science, MIS, or engineering preferredInformation Technology, Computer Science, MIS, or engineering preferred

Preferred educational qualifications: Engineering and Computer ScienceEngineering and Computer Science

Experience

Minimum Level of Experience Required: 5 - 7 5 - 7 years of job related experienceyears of job related experience

Prior job title or occupational experience: Data Governance, Data Engineer, IT Engineer, and Platform EngineerData Engineer, IT Engineer, and Platform Engineer

Prior specific functional responsibilities: 5 years of experience working in data engineering or architectural roles & 7 years preferred.5 years' experience working in data engineering or architectural roles &+ years preferred. .

Preferred experience: Expertise in SQL and data analysis and experience with at least one programming language (Python or Scala preferred); Experience developing and maintaining data warehouses in big data solutions; Experience with developing solutions on Azure using its core services ADF, ADLS, Blob, and Fabric (preferred); Database development experience using Hadoop or BigQuery and experience with a variety of relational, NoSQL, and cloud database technologies; Worked with BI tools such as Tableau, Power BI, Looker, Shiny Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data;. Big Data Development experience using Spark, Databricks, Impala, and familiarity with Kafka (Preferred); Familiarity with the Linux operating system (Preferred); Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
Expertise in SQL and data analysis and experience with at least one programming language (Python or Scala preferred); Experience developing and maintaining data warehouses in big data solutions; Experience with developing solutions on Azure using its core services ADF, ADLS, Blob, and Synapse (preferred); Database development experience using Hadoop or BigQueryand experience with a variety of relational, NoSQL, and cloud database technologies; Worked with BI tools such as Tableau, Power BI, Looker, Shiny Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data;. Big Data Development experience using Spark, Databricks, Impala, and familiarity with Kafka (Preferred); Familiarity with the Linux operating system (Preferred); Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics

Other experience requirements: Ability to concisely and effectively interact with key roles within the Agile team; Self-motivated with strong problem-solving and learning skills Flexibility to changes in work direction as the project develops Excellent communication, listening, and influencing skills Ability to concisely and effectively interact with key roles within the Agile team; Self-motivated with strong problem-solving and learning skills Flexibility to changes in work direction as the project develops Excellent communication, listening, and influencing skills

## Description

Are you passionate about leveraging data to drive healthcare forward? Premier Health is looking for an experienced Senior Data Architect to enrich our team. This role promises the chance to make substantial contributions to the healthcare industry by ensuring data integrity, governance, and facilitating innovative solutions. As a beacon of excellence, Premier Health offers an inclusive culture where your contributions matter. We're celebrated for our commitment to employee satisfaction and fostering a connected workplace. By joining us, you'll help influence healthcare delivery while working in an environment that's as nurturing as it is stimulating.

REMOTE: This position can work remotely from out-of-state within the continental United States. Candidates must be eligible to work in the United States. Preference to candidates within 600 miles - in same or similar contiguous time zone to Dayton, Ohio (Eastern Standard Time)

Responsibilities

 * Design and maintain optimal data architectural solutions
 * Address complex data challenges to enhance business insight delivery
 * Develop advanced data products to aid analytics initiatives
 * Mentor and lead in data standards, practices, and governance
 * Promote a culture of knowledge sharing and efficient data solutions
 * Guide the integration of new analytical tools and processes
 * Implement strategic communication plans for data capabilities
 * Collaborate on technical architectures for major enterprise projects


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