Job description

110 N MAIN ST, DAYTON, OH 45402 DEPT: I.T. ANALYTICS Full-Time / 8:00am-5:00pm General Summary/Responsibilities: The Digital Health Sr. Data Architect builds high quality data pipelines driving analytic solutions. The role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The ideal candidate is a skilled data / software engineer with experience creating data products supporting analytic solutions. They are an Agile learner, possess strong problem-solving skills, work as part of a technical, cross functional analytics team, and want to solve complex data problems and deliver the insights to enable analytics strategy. Knowledge/Skills Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals; Solve complex data problems to deliver insights that helps our business to achieve their goals; Create data products for analytics and data scientist team members to improve their productivity. Essential Duties & Functions: Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals Solve complex data problems to deliver insights that helps our business to achieve their goals Create data products for analytics and data scientist team members to improve their productivity Advise, consult, mentor and coach other data and analytic professionals on data standards and practices Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering in order to improve our productivity as a team Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes Partner with Business Analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics Other Duties & Functions: Other leadership requirements of Premier Health at a Senior staff level Grow the digital capabilities of Premier Health and teach Agile methodologies Works multiple missions, journeys, and IT initiatives as assigned. The above duties and responsibilities may be essential job functions subject to reasonable accommodations. All job requirements listed include the minimum knowledge, skills, and/or ability deemed necessary to perform the job proficiently. This job description is not to be constructed as an exhausted statement of duties, responsibilities, and requirements. Employees may be required to perform any other job-related instructions as requested by their supervisor, subject to reasonable accommodations. Education Minimum Level of Education Required: Bachelor's degree Additional requirements: Type of degree: Bachelors required Area of study or major: Information Technology, Computer Science, MIS, or engineering preferred Preferred educational qualifications: Engineering and Computer Science Position specific testing requirement: NA Licensure/Certification/Registration • N/A Experience Minimum Level of Experience Required: 5 - 7 years of job related experience Prior job title or occupational experience: Data Engineer, IT Engineer, and Platform Engineer Prior specific functional responsibilities: 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 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

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