Role Description The Data Architect defines and governs the enterprise data architecture for a modern Azure-based platform integrating Avatar NX, Salesforce, and financial systems. This role establishes a scalable, consistent, and governed data ecosystem aligned with business and regulatory requirements. A critical responsibility is reverse engineering the Avatar NX EHR data model, due to limited vendor documentation, to enable accurate integration, reporting, and long-term data governance. Schedule: 8am-5pm CST Salary Range: $109,300- $141,900 commensurate with experience Location: Remote - Must be US based, and able to work with no restrictions in the US in a remote home office. How Data Architects Empower Recovery - Enterprise Data Architecture - Design end-to-end Azure data architecture (ingestion, staging, curated, reporting layers) - Define enterprise data domains (Clinical, RCM, CRM, Finance) - Establish canonical data models (e.g., Patient, Encounter, Claim, Revenue) - Reverse engineer and document the Avatar NX data model, including: - Table structures, relationships, and data flows - Enterprise ERDs and logical models - Mapping vendor-specific schemas to normalized structures - Interpreting and modeling data from a non-traditional database architecture (InterSystems Caché/IRIS) - Integration Strategy - Define integration patterns across: - Avatar NX (EHR and billing logic) - Salesforce (CRM and engagement) - Financial systems (GL and revenue recognition) - Standardize data contracts and exchange patterns (batch, API, event-driven) - Data Governance & Standards - Establish standards for naming, definitions, and data quality - Implement governance for billing rules and derived logic - Lead development of a data catalog, business glossary, and lineage framework - Ensure reverse-engineered models are documented and version-controlled - Ensure data models, pipelines, and architectural artifacts are managed using enterprise source control practices (e.g., Git) - Rule & Revenue Transparency - Define architecture for rule outcome (inferred) tracking within Azure - Enable reconciliation between NX and downstream financial systems - Ensure billing logic is auditable, traceable, and explainable - Collaboration - Partner with Finance, RCM, Operations, IT, and Analytics leadership - Provide architectural guidance to Data Modelers, Developers, and DBAs Qualifications - Bachelor’s degree in computer science, Information Systems, Data Engineering, or a related technical field Requirements - 7+ years in data architecture, data modeling, or enterprise data engineering - Hands-on experience designing data platforms in Azure (ADF, Synapse, Data Lake, SQL) - Demonstrated experience integrating EHR, CRM, and financial systems - Proven experience working with EHR vendor databases (e.g., Netsmart Avatar NX, Epic, Cerner, or similar) - Hands-on experience reverse engineering undocumented or poorly documented schemas, including: - Identifying table relationships and key linkages - Reconstructing data models from source systems - Building ERDs from live databases rather than vendor documentation - Experience translating complex clinical and billing data structures into usable enterprise models - Ability to work with stakeholders to validate inferred logic (e.g., encounter flows, billing rules, documentation timing) - Strong expertise in relational and dimensional data modeling - Experience establishing canonical data models across domains (clinical, financial, operational) - Experience implementing data governance frameworks, lineage, and data quality controls - Advanced SQL Server expertise (querying, schema analysis, performance tuning) - Experience with large, complex, highly normalized transactional systems - Proficiency with source control and version management tools (e.g., Git) Preferred Experience - Experience in the Healthcare industry, data domains (clinical workflows, RCM, compliance) - Experience supporting finance and revenue cycle reporting (AR, billing, reconciliation) - Familiarity with Power BI, SSRS, or other reporting platforms - Experience working in environments with limited vendor transparency or documentation Workplace Environment - Requires long periods of sitting (95% sitting, 5% standing) - Extensive computer use Competencies - Technical Architecture - Data Governance & Quality - Business & Strategy Alignment - Leadership & Influence Accanto’s Commitment to Equal Opportunity Accanto is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status. Benefits - HSA and PPO insurance with HSA or FSA options (Blue Cross Blue Shield) - Dental insurance (Delta Dental) - Vision insurance (EyeMed) - Short-term and long-term disability insurance - Company-paid life insurance - 401(k) plan available two months after start date - Company 401(k) matching for up to 50% of your contribution, up to 6% of your compensation - Paid time off is a crucial part of maintaining work and life balance. Our generous PTO plan accrues annually and begins with your first whole pay period. Eligible employees enjoy seven paid holidays and one floating holiday in addition to their regular PTO.

Role Description Data Entry Support role involves various responsibilities related to system configuration, support, user management, training, medication configuration, implementation, and maintenance. - System Configuration: - Follow-up Worklist – Per organization for worklist setup (e.g., reasons for follow-up, group creation, adding users, adding status outlines, adding follow-up letters). - Order Building – Per organization for non-medication ordering (e.g., building/creating orders, adding to applicable organizations, creating order sets/groups). - Lab Orders (In-House and Outside) – For any additional lab needed, build order for each organization. - Flowsheets – For any additional flowsheet modifications, update permissions and groupings. - Template Permissions – As requested, add permissions to templates. - Template Updates – Perform manual review of environments to note differences between the configured templates. Provide findings to the EHR Team. As requested, make updates to the template configuration. - ProDash Configuration – Per organization for ProDash setup (e.g., provider access). Development underway, more information pending. - Billing Template – Using provided outline, create billing template on each existing template and validate conditional logic. - System Support: - Post system updates, perform system validation testing using provided script. Share findings with EHR Team. - Monitor end user support channels. Provide end user support based on provided script and common issue resolutions. Communicate with EHR Team when support is needed beyond script. - User Management: - As received, complete updates to end user accounts (e.g., adding end date for users no longer needing access, updating locations, adding user roles, updating last name). Notify EHR Team if account is not located. - User Role Validation: - Testing of user roles as new features or changes are implemented which could impact the user role. Report replaced findings. - Testing of user roles per new/copied environment to ensure accuracy. - Training Support: - Format the Scribe documentation to become more human-readable. - Create training videos and other materials based on a provided script / guidance. - Using instructions, process EHR Training registration requests by verifying access setup in respective environment(s). Notify EHR Team of inaccuracies. - Medication Configuration: - Drug Item Master – Select each location for each drug item. - Medical Formulary – Select each location and apply the individual drug items to the formulary. - Order Checks – Per provided instructions, create order checks for each location. - Order Management (Orderable Item, Order Group, Order Set) – Per provided instructions, complete medication building of the orderable item per location. For specific orderable items, add respective medical director per location. Repeat process for order group and order set builds. - Implementation: - Transfer applicable lots from regional/central pharmacy to each location ahead of their go-live. - Set initial inventory by lot at each location prior to the location go-live. - As requested, manually adjust inventory amounts from final current system count to future system. - Maintenance: - As requested, complete new drug building at all applicable locations per each environment. - As requested, complete updates to drug items at all applicable locations per environment. Qualifications - Strong attention to detail. - Ability to work independently and manage multiple tasks. - Excellent communication skills. Requirements - Experience in data entry or related field. - Familiarity with EHR systems. - Proficiency in Microsoft Office Suite. Benefits - Flexible work hours. - Remote work opportunity. - Competitive compensation.

Role Description The Senior Enterprise Data Architect will be responsible for designing and implementing solutions within Business Intelligence and Data Management software and hardware to meet business requests. The ideal candidate should be able to create data solutions leveraging Master Data Management (MDM) and Data Warehouse (DW) technologies. This role will work under the direct leadership of the Senior Manager for Enterprise Data Architecture. Knowledge of industry-standard Business Intelligence software and Data Integration Management technologies is required. - Must be self-motivated and able to work independently while consistently meeting deadlines. - Strong business and technical verbal and written communication skills. - Experience creating metrics and dashboard analytics. - Strong working knowledge of different analysis tools and techniques. - Demonstrated analytical ability and creativity in developing and implementing solutions for complex problems on medium-sized projects. - Strong SQL skills. Functions Performed This individual may be asked to solely perform these functions or may choose to delegate some of these functions to other members of their team, per agreement with the Senior Manager for Enterprise Data Architecture. Ultimately, responsibility for ensuring that the functions are performed rests with this position. - Architect and design business intelligence solutions for accessing and analyzing data and metadata. - Experience with Enterprise Data Warehouse (EDW), Data Mart, and Operational Data Store (ODS) architectures. - Expertise in data modeling, including star, snowflake, and other dimensional modeling techniques. - Experience architecting and developing database solutions using both OLAP and OLTP technologies. - Extensive experience in architecture, data modeling, design, development, data migration, and data integration throughout the Software Development Life Cycle (SDLC). - Participate in and/or lead design sessions, demonstrations, prototype sessions, testing, and training workshops with business users and IT associates. - Develop and maintain technical documentation. - Support business projects by providing Subject Matter Expert (SME) knowledge in Enterprise Data Management.

• Partner directly with business stakeholders to deeply understand analytics needs and pipeline requirements. • Translate complex stakeholder requirements into practical, detailed technical engineering documentation. • Assess existing data architectures and define optimal strategies and methodologies for delivering high-value business insights. • Identify and execute critical data transformations to refine raw data into optimized, production-ready datasets and deliverables. • Gather, model, and aggregate large and complex datasets that meet functional and non-functional enterprise requirements. • Design, build, and optimize complex SQL queries and scalable data pipelines for end-user analytics. • Develop intuitive reports, data visualizations, and interactive dashboards for end users. • Conduct deep-dive root cause analysis on internal/external data sources and pipeline processes to detect anomalies, resolve issues, and drive continuous performance improvements. • Design, build, and deploy scalable data warehousing solutions using Snowflake or equivalent modern cloud platforms.