Enterprise Analytics BID

**Join Our Team** Deaconess Analytics plays a critical role in transforming healthcare data into actionable insights that drive better patient care, operational efficiency, and strategic decision-making. As part of a multi-state healthcare organization, we leverage modern data technologies to support analytics maturity, data governance, and enterprise data solutions. We are seeking a **Data Architect** to design and implement enterprise data solutions that support our analytics and operational reporting needs. **Benefits** We pride ourselves in retaining our top talent by offering work environments that support professional development and personal success. In addition to our robust healthcare and retirement plans, we offer: * Onsite children's care centers (Infant through Pre-K) * Tuition reimbursement * Free access to fitness centers, where health coaches are available to help with workout plans * Career advancement opportunities * Competitive pay, yearly opportunities for pay increases and bonuses **Job Overview** * Develop and maintain data models, data warehouses, and cloud-based data platforms to support analytics and reporting * Architect and optimize **Azure SQL Database, Data Factory, and hybrid cloud solutions** for scalability and security * Oversee **ETL pipelines** using **SSIS, Python, PowerShell, and API integrations** to ensure seamless data flow between systems * Establish data governance frameworks, ensuring compliance with regulatory and organizational data standards * Collaborate with data engineers, analysts, and stakeholders to ensure alignment with business goals * Design efficient queries, indexing strategies, and data partitioning for high-performance data solutions * Support the integration of AI-driven analytics and automation into Deaconess's data ecosystem **What You Will Need** **Required:** * Bachelor's degree in **Computer Science, Data Engineering, Information Systems** , or related field * 5+ years of experience in **data architecture, data engineering, or database development** * Expertise in **SQL Server, Azure SQL Database, SSIS, and Data Factory** * Proficiency in **Python, PowerShell, C#, and API-based data integration** * Experience with **BI tools like Power BI and Tableau** * Strong understanding of **data modeling, database performance tuning, and data warehousing** * Familiarity with **data governance, security, and compliance** in a healthcare environment **Preferred:** * Experience with **Microsoft Fabric, Databricks, and Snowflake** * Hands-on experience with **RPA (UIPath) integration into data workflows** * Familiarity with **machine learning and AI-driven analytics** **Other Keywords: **Data Architect, Data Engineering, SQL Server, Azure SQL Database, SSIS, Data Factory, ETL Pipelines, Python, PowerShell, C#, API Integration, Business Intelligence (BI), Power BI, Tableau, Data Modeling, Data Warehousing, Database Performance Tuning, Data Governance, Data Security, Compliance, Healthcare IT, Cloud-Based Data Platforms, Hybrid Cloud Solutions, Microsoft Fabric, Databricks, Snowflake, RPA (UIPath), AI-Driven Analytics, Machine Learning, Data Automation, Enterprise Data Solutions, Analytics Maturity, Data Strategy, Multi-State Healthcare System, IT.