MUST be a PA Resident
Location:Harrisburg PA
Position Type:Hybrid
Hybrid Schedule:Onsite as needed at least one day a month
Contract Length:10 monthsPosition Overview:The Data Modeler / Data Architect will support the modernization of the Enterprise Data Warehouse (EDW) by designing validating and maintaining scalable data models and architectures in Azure. This role will collaborate with technical teams and stakeholders to ensure accurate secure and optimized data structures that enable enterprise-wide reporting analytics and decision-making.
Duties:Design develop and maintain logical and physical data models metadata repositories and data dictionaries.
Conduct data profiling analysis and validation to ensure integrity consistency and accuracy across data sources.
Translate business requirements and use cases into optimized data models flows and database solutions.
Manage and document information domain models attributes relationships and integrity rules.
Build and maintain centralized data models and support integration into the modernized Azure EDW.
Evaluate existing data systems for variances discrepancies and efficiency gaps providing recommendations for improvements.
Develop and implement ETL/ELT processes using SQL Server T-SQL SSIS stored procedures and scripts.
Collaborate with developers analysts DBAs and other teams to ensure successful delivery of project objectives.
Support data modernization by leveraging Azure Databricks Delta Lake Synapse and Python.
Audit databases to maintain quality standards and implement processes to ensure data security and compliance.
Participate in business and technical requirements gathering sessions.
Prepare and deliver presentations and documentation to stakeholders including workflows standards and procedural guides.
Provide knowledge transfer and training sessions for maintaining and updating data models metadata and documentation.
Ensure project compliance with relevant standards frameworks and best practices.
Track assignments update status reports and manage deliverables within agreed timelines.
Participate in Agile/Scrum ceremonies and utilize Azure DevOps for tracking and collaboration.
Required Skills:5 years of experience with logical and physical data modeling including use of tools such as ErWin or similar.
5 years of experience managing metadata data dictionaries and technical documentation.
5 years of strong proficiency with SQL Server T-SQL SSIS stored procedures ELT processes scripts and complex queries.
5 years of working knowledge of Azure Databricks Delta Lake Synapse and Python.
5 years of experience with Azure DevOps and Agile / Scrum development methods.
5 years of experience auditing databases to maintain quality and creating systems to ensure data security.
Experience working in the healthcare industry with various health data sets (nice to have).
4-year college degree in Computer Science or related field (advanced study preferred).
Required Experience:
Senior IC
MUST be a PA ResidentLocation:Harrisburg PAPosition Type:HybridHybrid Schedule:Onsite as needed at least one day a monthContract Length:10 monthsPosition Overview:The Data Modeler / Data Architect will support the modernization of the Enterprise Data Warehouse (EDW) by designing validating and maint...
MUST be a PA Resident
Location:Harrisburg PA
Position Type:Hybrid
Hybrid Schedule:Onsite as needed at least one day a month
Contract Length:10 monthsPosition Overview:The Data Modeler / Data Architect will support the modernization of the Enterprise Data Warehouse (EDW) by designing validating and maintaining scalable data models and architectures in Azure. This role will collaborate with technical teams and stakeholders to ensure accurate secure and optimized data structures that enable enterprise-wide reporting analytics and decision-making.
Duties:Design develop and maintain logical and physical data models metadata repositories and data dictionaries.
Conduct data profiling analysis and validation to ensure integrity consistency and accuracy across data sources.
Translate business requirements and use cases into optimized data models flows and database solutions.
Manage and document information domain models attributes relationships and integrity rules.
Build and maintain centralized data models and support integration into the modernized Azure EDW.
Evaluate existing data systems for variances discrepancies and efficiency gaps providing recommendations for improvements.
Develop and implement ETL/ELT processes using SQL Server T-SQL SSIS stored procedures and scripts.
Collaborate with developers analysts DBAs and other teams to ensure successful delivery of project objectives.
Support data modernization by leveraging Azure Databricks Delta Lake Synapse and Python.
Audit databases to maintain quality standards and implement processes to ensure data security and compliance.
Participate in business and technical requirements gathering sessions.
Prepare and deliver presentations and documentation to stakeholders including workflows standards and procedural guides.
Provide knowledge transfer and training sessions for maintaining and updating data models metadata and documentation.
Ensure project compliance with relevant standards frameworks and best practices.
Track assignments update status reports and manage deliverables within agreed timelines.
Participate in Agile/Scrum ceremonies and utilize Azure DevOps for tracking and collaboration.
Required Skills:5 years of experience with logical and physical data modeling including use of tools such as ErWin or similar.
5 years of experience managing metadata data dictionaries and technical documentation.
5 years of strong proficiency with SQL Server T-SQL SSIS stored procedures ELT processes scripts and complex queries.
5 years of working knowledge of Azure Databricks Delta Lake Synapse and Python.
5 years of experience with Azure DevOps and Agile / Scrum development methods.
5 years of experience auditing databases to maintain quality and creating systems to ensure data security.
Experience working in the healthcare industry with various health data sets (nice to have).
4-year college degree in Computer Science or related field (advanced study preferred).
Required Experience:
Senior IC
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