Data Architect - Digital Technology Services

Data Architect - Digital Technology Services

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.

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

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

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