What are the responsibilities and job description for the Azure Architect with MDM & ETL Exp position at Expert Technology Services?
Job Summary (List Format):
- Design and implement enterprise data architectures using Microsoft Azure cloud technologies.
- Architect and support Master Data Management (MDM) solutions using platforms such as Informatica MDM, Reltio, or IBM Infosphere MDM.
- Develop scalable ETL/ELT pipelines utilizing Azure Data Factory (ADF), Databricks, and related Azure services.
- Define frameworks for data ingestion, transformation, data quality, and data governance.
- Collaborate with business stakeholders, data engineers, and application teams to gather requirements and deliver data solutions.
- Lead data migration and modernization projects, moving data from on-premises environments to Azure cloud.
- Design data models, master data domains, hierarchies, and stewardship workflows.
- Implement processes for data quality management, metadata management, data lineage, and governance.
- Provide technical leadership, conduct architecture reviews, and offer best practice recommendations.
- Ensure data platform security, scalability, reliability, and performance.
- Apply expertise in Microsoft Azure (ADF, Databricks, Synapse Analytics, Data Lake Storage, SQL Database, Functions).
- Utilize advanced skills in ETL/ELT development, data integration, data migration, and SQL data modeling.
- Demonstrate experience with data governance, data quality, metadata management, and data warehousing concepts.
- Work within Agile delivery methodologies.
- Mandatory skills include Azure Cloud Architecture, ETL Concepts, IBM-MDM, Informatica-MDM, Data Integration, Data Migration, Metadata Management, and SQL Data Modeling.
- Design and implement enterprise data architectures using Microsoft Azure cloud technologies.
- Architect and support Master Data Management (MDM) solutions using platforms such as Informatica MDM, Reltio, or IBM Infosphere MDM.
- Develop scalable ETL/ELT pipelines utilizing Azure Data Factory (ADF), Databricks, and related Azure services.
- Define frameworks for data ingestion, transformation, data quality, and data governance.
- Collaborate with business stakeholders, data engineers, and application teams to gather requirements and deliver data solutions.
- Lead data migration and modernization projects, moving data from on-premises environments to Azure cloud.
- Design data models, master data domains, hierarchies, and stewardship workflows.
- Implement processes for data quality management, metadata management, data lineage, and governance.
- Provide technical leadership, conduct architecture reviews, and offer best practice recommendations.
- Ensure data platform security, scalability, reliability, and performance.
- Apply expertise in Microsoft Azure (ADF, Databricks, Synapse Analytics, Data Lake Storage, SQL Database, Functions).
- Utilize advanced skills in ETL/ELT development, data integration, data migration, and SQL data modeling.
- Demonstrate experience with data governance, data quality, metadata management, and data warehousing concepts.
- Work within Agile delivery methodologies.
- Mandatory skills include Azure Cloud Architecture, ETL Concepts, IBM-MDM, Informatica-MDM, Data Integration, Data Migration, Metadata Management, and SQL Data Modeling.