Mainframe programmer Jobs in Orlando, FL

Position Summary Status: Full-Time, Hyrbid , 2 days/week on site Location: Downtown Orlando Shift: Monday-Friday, working hours between 8am-5pm At Orlando Health, we are ordinary people with extraordinary individuality, working together to bring help, healing and hope to those we serve. By daily embodying our over 100-year legacy, we reinforce our reputation as a trusted and respected healthcare organization that delivers professional and compassionate care to our patients, families and communities. Through our award-winning hospitals and ERs, specialty institutes, urgent care centers, primary care practices and outpatient facilities, our 27,000+ team members serve communities that span Florida’s east to west coasts and beyond. ORLANDO HEALTH - BENEFITS & PERKS: All Inclusive Benefits (start day one) Student loan repayment, tuition reimbursement, FREE college education programs, retirement savings, paid paternity leave, fertility benefits, back up elder and childcare, pet insurance, PTO/Holidays, and more for full time and part time employees. Forbes Recognizes Orlando Health as a Best-In-State Employer Forbes has named Orlando Health as one of America's Best-In-State Employers for 2024. Orlando Health is the top healthcare organization in the Metro Orlando area to make the prestigious list. "We are proud to be named once again as a best place to work," said Karen Frenier, VP (HR). "This achievement reflects our positive culture and efforts to ensure that all team members feel respected, supported and valued. Position Summary The Data/BI Architect owns the end-to-end design of the enterprise data architecture on the Azure Enterprise Data Platform, balancing optimized data access and consumption performance against ingestion cadence, pipeline throughput, and compute/cost utilization within Databricks. Knowledgeable in all aspects of designing and constructing data warehouses and lakehouse-based data, operational data stores, and data marts that enable informational, analytical management inquiry of well-integrated, subject-oriented historical data. Focuses primarily on logical and physical data modeling and database design across Bronze, Silver, and Gold layers — source-aligned raw capture, cleansed and conformed dimensional structures, and business-ready certified consumption models — along with metadata definitions, conformed dimensions, and the enterprise metric framework that establishes single-source-of-truth definitions across the organization.Serves as team leader in the integration of solutions, constructing data warehouse applications, developing new business opportunities, and building relationships with clients. Responsibilities Essential Functions Develops custom data models, algorithms, visualizations, and reports and builds measurement and predictive models related to business metrics. Design relational databases to perform well logically and physically for decision support Coordinate new data development and make sure it is consistent and well integrated with existing warehouse structure Know star/crystal schemata and fine tune very large databases (VLDBs) for complex queries Design key and indexing schemes Business analysis, event modeling, data modeling, logical and physical database design, data acquisition analysis and design, data access analysis and design, DBMS optimization, archive and recovery strategy, load strategy design and implementation, security, and change management Source data from legacy systems and load it into the warehouse Effectively adapt to and apply rapidly changing technology to business needs Experience in entity relationship data modeling, with experience using data modeling tools. Data acquisition (ETL) development and management Meta data management Analyze project needs and determine resources needed to meet objectives and solve problems that involve remote and elusive symptoms, often spanning multiple environments in a business area Participates in work stream planning process including inception, technical design, development, validation, and delivery of Business Intelligence (BI) solutions. Leads functional / project teams to identify areas of improvement, implement improvement initiatives, and monitor results. Establishes and maintains collaborative, supportive, and professional relationships with leadership, physicians, vendors, project stakeholders, and team members. Maintains reasonably regular, punctual attendance consistent with Orlando Health policies, the ADA, FMLA and other federal, state and local standards. Maintains compliance with all Orlando Health policies and procedures. Other Related Functions Serves as technical leader for cross-domain integration and harmonization toward a Unified Data Model, guiding Data Engineering, Analytics Engineering, Epic Analytics, and Power BI teams through architectural review, design patterns, and standards that reduce data debt, rework, and metric ambiguity. Partners with governance, clinical, and business stakeholders to translate enterprise objectives into intentional, reusable data design that scales with platform maturity. Additional responsibility includes business and domain analysis, data acquisition and ingestion design across batch, API, file, and near-real-time (HL7/FHIR) source patterns; source-to-target mapping and data contract definition; Unity Catalog governance, security, and PHI/HIPAA-aligned access design; Databricks SQL and pipeline optimization; data quality, lineage, and observability standards; and replayable, failure-isolated load strategy design and implementation. Qualifications Education/ Training Bachelor’s degree in Computer Science, Engineering, or related discipline. Associate’s degree and two (2) years of directly related work experience may substitute for the Bachelor’s degree (in addition to the requirements listed in the Experience section). High School Diploma or equivalent and four (4) years of directly related work experience may also substitute for the Bachelor’s degree (in addition to the requirements listed in the Experience section). Experience Eight (8) years of experience in IT with relational database management systems (RDBMSs), with a minimum of four (4) years in data warehouse design of logical and physical models. Two (2) years of experience with business intelligence structures and systems (e.g. data mining, ODS, analytical tools). DBA experience with some or all: Unix, SQL, Informix, Oracle, Sybase. Business Intelligence: Extensive experience developing requirements for BI, Balanced Scorecard or Advanced Analytics applications. In-depth experience designing/implementing relational database solutions Experience in several of the following areas is essential: Data modeling techniques Data cleansing software Data replication products and technology Data access software Database performance optimization Mainframe data migrationEssential Functions Develops custom data models, algorithms, visualizations, and reports and builds measurement and predictive models related to business metrics. Design relational databases to perform well logically and physically for decision support Coordinate new data development and make sure it is consistent and well integrated with existing warehouse structure Know star/crystal schemata and fine tune very large databases (VLDBs) for complex queries Design key and indexing schemes Business analysis, event modeling, data modeling, logical and physical database design, data acquisition analysis and design, data access analysis and design, DBMS optimization, archive and recovery strategy, load strategy design and implementation, security, and change management Source data from legacy systems and load it into the warehouse Effectively adapt to and apply rapidly changing technology to business needs Experience in entity relationship data modeling, with experience using data modeling tools. Data acquisition (ETL) development and management Meta data management Analyze project needs and determine resources needed to meet objectives and solve problems that involve remote and elusive symptoms, often spanning multiple environments in a business area Participates in work stream planning process including inception, technical design, development, validation, and delivery of Business Intelligence (BI) solutions. Leads functional / project teams to identify areas of improvement, implement improvement initiatives, and monitor results. Establishes and maintains collaborative, supportive, and professional relationships with leadership, physicians, vendors, project stakeholders, and team members. Maintains reasonably regular, punctual attendance consistent with Orlando Health policies, the ADA, FMLA and other federal, state and local standards. Maintains compliance with all Orlando Health policies and procedures. Other Related Functions Serves as technical leader for cross-domain integration and harmonization toward a Unified Data Model, guiding Data Engineering, Analytics Engineering, Epic Analytics, and Power BI teams through architectural review, design patterns, and standards that reduce data debt, rework, and metric ambiguity. Partners with governance, clinical, and business stakeholders to translate enterprise objectives into intentional, reusable data design that scales with platform maturity. Additional responsibility includes business and domain analysis, data acquisition and ingestion design across batch, API, file, and near-real-time (HL7/FHIR) source patterns; source-to-target mapping and data contract definition; Unity Catalog governance, security, and PHI/HIPAA-aligned access design; Databricks SQL and pipeline optimization; data quality, lineage, and observability standards; and replayable, failure-isolated load strategy design and implementation. Education/ Training Bachelor’s degree in Computer Science, Engineering, or related discipline. Associate’s degree and two (2) years of directly related work experience may substitute for the Bachelor’s degree (in addition to the requirements listed in the Experience section). High School Diploma or equivalent and four (4) years of directly related work experience may also substitute for the Bachelor’s degree (in addition to the requirements listed in the Experience section). Experience Eight (8) years of experience in IT with relational database management systems (RDBMSs), with a minimum of four (4) years in data warehouse design of logical and physical models. Two (2) years of experience with business intelligence structures and systems (e.g. data mining, ODS, analytical tools). DBA experience with some or all: Unix, SQL, Informix, Oracle, Sybase. Business Intelligence: Extensive experience developing requirements for BI, Balanced Scorecard or Advanced Analytics applications. In-depth experience designing/implementing relational database solutions Experience in several of the following areas is essential: Data modeling techniques Data cleansing software Data replication products and technology Data access software Database performance optimization Mainframe data migration