Architect (IS Enterprise Analytics)
Job Location
Department
24 May, 2023
Full Time
Day
350954
Architect (IS Enterprise Analytics)
Job Description
Overview
Summary
The Data Architect is responsible for understanding, qualifying, and estimating new opportunities from a technology perspective, supporting proposal and SOW generation, making presentations, and leading and supplying directly to the successful delivery of the IU Health Data Analytics architecture and Enterprise Data Warehouse. Typically, he/she performs the following: must have in-depth technical experience analyzing system and database requirements assessment, definition and planning of enterprise, solution and component data analytics architecture and technology; hands-on role in crafting and executing technical proof-of-concept initiatives; and technical leadership of solution design and engineering teams. Acts as a coach/mentor to engineers, developers and architects throughout the IS organization. Ensures delivery teams are equipped with the leadership and mentorship necessary to optimally deliver their solutions and keeps the enterprise architecture team informed regarding alignment with enterprise standards and guidelines.
Work Breakdown:
- 30% documentation
- 30% analysis and architecture
- 20% coding
- 10% strategic
- 10% customer engagement
Essential Functions
- Design, construct, install, test and maintain highly scalable big data analytics pipelines
- Lead development and maintenance of logical & physical data model designs, data management standards and conventions, data naming standards and metadata (normalized, de-normalized and STAR-based structures)
- Identify Industry Standards, standardize and cross-mapping databases using common data models such as OMOP, HL7 FHIR, or OMOP on FHIR, to achieve Interoperability
- Experience with common data model implementations
- Document definition of process/guidelines/standards and lead higher level planning efforts
- Direct support of business intelligence and analytics teams throughout the IU Health organization
Leadership
- Comfortable engaging with personnel at all levels of leadership
- Ability to listen to others and incorporate good ideas regardless of source
- Professional in all communication and interaction with others
- Willing to admit mistakes and make course corrections quickly
Analysis & Communication
- Proven work experience as a Data Architect, Sr. Data Analyst, Data Engineer or similar roles.
- Experience in a healthcare setting with deep exposure to Payer and Provider oriented terminologies (Nice to Have).
- Ability to assess/analyze information needs objectively
- Ability to document database modeling, common data model mapping, data dictionary creation, etc.
- Ability to drill down and ask the right questions to arrive at root cause
- Confident in front of both management and developer audiences; ability to customize communication for both
- Ability to learn and adapt quickly to new business domains and technologies
- Good written communication skills; ability to use accurate grammar and structure communication in a way that makes it easy to understand
- Ability to navigate difficult conversations, remain objective and achieve sound outcomes
Technology & Capabilities Required
- Programming/scripting languages: Scala, Python, SQL, and PowerShell
- Data integration: ETL and ELT development paradigms and platforms - Informatica Cloud, Azure Data Factory, Apache Spark/Databricks, Delta, Airflow/Luigi/Nifi, and Kafka
- Big Data Platforms: Azure Data Lake, Apache Spark/Databricks, MPP Data Warehouses such as Azure Synapse (SQL DW), Amazon Redshift, Snowflake
- Software development methodologies/concepts: SDLC, Agile, Scrum, Git, Continuous Integration
- Common data models: HL7 (Preferred), OMOP (Preferred), FHIR (Nice to Have), OMOP on FHIR (Nice to Have).
- Data Quality/Governance: Informatica IDQ, EDC, AXON
- Deep understanding and knowledge of Terminology Standards such as ICD10, CPT, Snomed, LOINC, RXNorm (Must Have), ERGs, RERGs, DRGs (Nice to Have).
- Knowledge of the Healthcare Ecosystem and Use Cases - e.g., Care Workflows, Careplans, Prior Auth, Population Health, Segmentation/Stratification, Risk Computation, etc. (Nice to Have).
- Experience with history tables, fact vs. dimension tables (slowly changing dimensions, SCD type 2), Git and Source Control, Azure cloud, Data Lake, Data Factory, Synapse, Python, Spark, Databricks.
- Working knowledge of SOLID development principles
- Expertise in SQL
QUALIFICATIONS/ATTRIBUTES/ABILITIES
•5-7 years of experience required.
• Requires knowledge of EA frameworks and design tools.
• Requires deep expertise in at least one technology domain.
Safeguarding our patients and each other is an important part of how we deliver the best care possible to the communities we serve. As a condition of employment, IU Health requires all new hires to receive various vaccinations, including the influenza and COVID-19 vaccines, barring an approved exemption. New hires will also be provided the option to submit proof of previous vaccination.
We are an equal opportunity employer and value diversity and inclusion at IU Health. IU Health does not discriminate on the basis of race, color, religion, sex, sexual orientation, age, disability, genetic information, veteran status, national origin, gender identity and/or expression, marital status or any other characteristic protected by federal, state or local law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Qualifications for the Architect (IS Enterprise Analytics) Role
Overview
Summary
The Data Architect is responsible for understanding, qualifying, and estimating new opportunities from a technology perspective, supporting proposal and SOW generation, making presentations, and leading and supplying directly to the successful delivery of the IU Health Data Analytics architecture and Enterprise Data Warehouse. Typically, he/she performs the following: must have in-depth technical experience analyzing system and database requirements assessment, definition and planning of enterprise, solution and component data analytics architecture and technology; hands-on role in crafting and executing technical proof-of-concept initiatives; and technical leadership of solution design and engineering teams. Acts as a coach/mentor to engineers, developers and architects throughout the IS organization. Ensures delivery teams are equipped with the leadership and mentorship necessary to optimally deliver their solutions and keeps the enterprise architecture team informed regarding alignment with enterprise standards and guidelines.
Work Breakdown:
- 30% documentation
- 30% analysis and architecture
- 20% coding
- 10% strategic
- 10% customer engagement
Essential Functions
- Design, construct, install, test and maintain highly scalable big data analytics pipelines
- Lead development and maintenance of logical & physical data model designs, data management standards and conventions, data naming standards and metadata (normalized, de-normalized and STAR-based structures)
- Identify Industry Standards, standardize and cross-mapping databases using common data models such as OMOP, HL7 FHIR, or OMOP on FHIR, to achieve Interoperability
- Experience with common data model implementations
- Document definition of process/guidelines/standards and lead higher level planning efforts
- Direct support of business intelligence and analytics teams throughout the IU Health organization
Leadership
- Comfortable engaging with personnel at all levels of leadership
- Ability to listen to others and incorporate good ideas regardless of source
- Professional in all communication and interaction with others
- Willing to admit mistakes and make course corrections quickly
Analysis & Communication
- Proven work experience as a Data Architect, Sr. Data Analyst, Data Engineer or similar roles.
- Experience in a healthcare setting with deep exposure to Payer and Provider oriented terminologies (Nice to Have).
- Ability to assess/analyze information needs objectively
- Ability to document database modeling, common data model mapping, data dictionary creation, etc.
- Ability to drill down and ask the right questions to arrive at root cause
- Confident in front of both management and developer audiences; ability to customize communication for both
- Ability to learn and adapt quickly to new business domains and technologies
- Good written communication skills; ability to use accurate grammar and structure communication in a way that makes it easy to understand
- Ability to navigate difficult conversations, remain objective and achieve sound outcomes
Technology & Capabilities Required
- Programming/scripting languages: Scala, Python, SQL, and PowerShell
- Data integration: ETL and ELT development paradigms and platforms - Informatica Cloud, Azure Data Factory, Apache Spark/Databricks, Delta, Airflow/Luigi/Nifi, and Kafka
- Big Data Platforms: Azure Data Lake, Apache Spark/Databricks, MPP Data Warehouses such as Azure Synapse (SQL DW), Amazon Redshift, Snowflake
- Software development methodologies/concepts: SDLC, Agile, Scrum, Git, Continuous Integration
- Common data models: HL7 (Preferred), OMOP (Preferred), FHIR (Nice to Have), OMOP on FHIR (Nice to Have).
- Data Quality/Governance: Informatica IDQ, EDC, AXON
- Deep understanding and knowledge of Terminology Standards such as ICD10, CPT, Snomed, LOINC, RXNorm (Must Have), ERGs, RERGs, DRGs (Nice to Have).
- Knowledge of the Healthcare Ecosystem and Use Cases - e.g., Care Workflows, Careplans, Prior Auth, Population Health, Segmentation/Stratification, Risk Computation, etc. (Nice to Have).
- Experience with history tables, fact vs. dimension tables (slowly changing dimensions, SCD type 2), Git and Source Control, Azure cloud, Data Lake, Data Factory, Synapse, Python, Spark, Databricks.
- Working knowledge of SOLID development principles
- Expertise in SQL
QUALIFICATIONS/ATTRIBUTES/ABILITIES
- Bachelor's degree preferred or equivalent experience.
- 5-7 years of experience required.
- Requires knowledge of EA frameworks and design tools.
- Requires deep expertise in at least one technology domain.
Indiana University Health is Indiana’s most comprehensive health system, with 16 hospitals and more than 34,000 team members serving Hoosiers across the state. Our partnership with the Indiana University School of Medicine gives our team members access to the very latest science and the very best training, advancing care for all. We’re looking for team members who share the things that matter most to us. People who are inspired by challenging and meaningful work for the good of every patient. People who are compassionate and serve with a purpose. People who aspire to excellence every day. People who are always ready to apply themselves.
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