

Intellectt Inc
Data Governance
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Governance Solution Architect, remote for a contract length of "unknown". Pay rate is "unknown". Key skills include MDM, Collibra, Azure Data Lake, SQL, and Snowflake. Previous experience in healthcare or payer organizations is required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
December 2, 2025
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#Matillion #Azure SQL #Data Governance #Alation #Azure cloud #Azure Data Factory #Azure #Data Management #Data Engineering #SQL Server #Data Quality #Azure SQL Database #Axon #Monitoring #Data Warehouse #Data Modeling #Migration #"ETL (Extract #Transform #Load)" #Informatica #Data Lake #ADLS (Azure Data Lake Storage) #Data Migration #Data Profiling #Data Integration #Collibra #MDM (Master Data Management) #ADF (Azure Data Factory) #SQL (Structured Query Language) #Snowflake #Cloud
Role description
Job Title/Role: Data Governance - SOLUTION ARCHITECT
Location: Remote
Mandatory Skills
MDM, Data Governance tool such as Collibra, Azure Data Lake (ADLS), SQL Database, Snowflake, Matillion ETL/ELT
Required Skills
'Experience with data governance tools and platforms like Collibra, Azure Purview, or Alation.
Proficiency in MDM concepts, tools (MDM software, data modeling tools, and data profiling tools) and best practices for managing master data across the organization.
Experience in implementing and managing data governance frameworks, policies, and procedures.
Data Quality Management: Knowledge of data quality assessment, profiling, cleansing, and monitoring techniques and tools.
Previous experience in a similar role, preferably in a healthcare or payer organization
Strong understanding of Azure cloud services relevant to data management, including Azure Data Lake, Azure SQL Database, and Azure Data Factory.
Snowflake: Proficiency in working with Snowflake data warehouse, including data modeling, querying, and performance optimization
Understanding of Matillion ETL for cloud data integration and transformation tasks.
Understanding of Matillion's connectors and integrations with cloud data platforms like Snowflake
Understanding of ETL pipelines in Matillion for various data sources, within cloud-based environment
Working experience in Health Insurance Domain
Strong communication skills to lead cross-functional teams and effectively communicate data governance policies and procedures.
Ability to articulate technical concepts to non-technical stakeholders
Responsibilities:
Implementing and managing data governance frameworks, policies, and procedures.
Closely work with business to understand, analyze and implement data governance at enterprise
Helping business to understand the importance of data governance, mitigating threats and realizing benefits by implementing industry standards best practices of data governance in healthcare domain.
Installation, configuration and setting up of Data Governance tools such as Collibra, Informatica Axon, or Alation
Integration of Governance Tool with Snowflake, Informatica MDM, Azure Data Services such as Azure Data Lake, Azure SQL Server, Azure Data Factory, etc.
Ability to adopt new data governance tool such as Azure Purview
Closely work with source systems and data engineering and data consumption teams to define/update data governance policies based on observed data quality
Review of governance activities performed across enterprise
Lead data governance activities including data modeling in data migration, integration, and transformation projects
Monitoring data quality and continuous data quality improvement through data governance.
Job Title/Role: Data Governance - SOLUTION ARCHITECT
Location: Remote
Mandatory Skills
MDM, Data Governance tool such as Collibra, Azure Data Lake (ADLS), SQL Database, Snowflake, Matillion ETL/ELT
Required Skills
'Experience with data governance tools and platforms like Collibra, Azure Purview, or Alation.
Proficiency in MDM concepts, tools (MDM software, data modeling tools, and data profiling tools) and best practices for managing master data across the organization.
Experience in implementing and managing data governance frameworks, policies, and procedures.
Data Quality Management: Knowledge of data quality assessment, profiling, cleansing, and monitoring techniques and tools.
Previous experience in a similar role, preferably in a healthcare or payer organization
Strong understanding of Azure cloud services relevant to data management, including Azure Data Lake, Azure SQL Database, and Azure Data Factory.
Snowflake: Proficiency in working with Snowflake data warehouse, including data modeling, querying, and performance optimization
Understanding of Matillion ETL for cloud data integration and transformation tasks.
Understanding of Matillion's connectors and integrations with cloud data platforms like Snowflake
Understanding of ETL pipelines in Matillion for various data sources, within cloud-based environment
Working experience in Health Insurance Domain
Strong communication skills to lead cross-functional teams and effectively communicate data governance policies and procedures.
Ability to articulate technical concepts to non-technical stakeholders
Responsibilities:
Implementing and managing data governance frameworks, policies, and procedures.
Closely work with business to understand, analyze and implement data governance at enterprise
Helping business to understand the importance of data governance, mitigating threats and realizing benefits by implementing industry standards best practices of data governance in healthcare domain.
Installation, configuration and setting up of Data Governance tools such as Collibra, Informatica Axon, or Alation
Integration of Governance Tool with Snowflake, Informatica MDM, Azure Data Services such as Azure Data Lake, Azure SQL Server, Azure Data Factory, etc.
Ability to adopt new data governance tool such as Azure Purview
Closely work with source systems and data engineering and data consumption teams to define/update data governance policies based on observed data quality
Review of governance activities performed across enterprise
Lead data governance activities including data modeling in data migration, integration, and transformation projects
Monitoring data quality and continuous data quality improvement through data governance.






