More jobs:
MNIT/DCYF CCWIS Data Architect
Job in
Minneapolis, Hennepin County, Minnesota, 55400, USA
Listed on 2026-08-08
Listing for:
TechWish
Full Time
position Listed on 2026-08-08
Job specializations:
-
IT/Tech
Azure, Data Engineering
Job Description & How to Apply Below
Sample Tasks
- Support design and implementation to improve, modernize, and transform data-driven service delivery.
- Ensure data assets are structured, accessible, secure, and align with DCYF, MNIT, and Enterprise goals.
- Recommend data platforms and tools to support enterprise data architecture.
- Develop data models.
- Ensure data access patterns are optimized.
- Maintain necessary documentation.
- Coordinate with necessary teams to meet security standards.
- Support design and development of disaster recovery solutions.
- Provide knowledge transfer.
The work is expected to be done remotely or hybrid at DCYF's offices.
Desired Qualifications- Strong experience with designing, developing, and implementing data lakes and relational and non-relational databases in Azure.
- Strong experience with Databricks.
- Strong experience with Oracle databases.
- Experience developing and implementing data transformation solutions and cloud infrastructure integrations.
- Experience coding and testing programs and scripts to load data using Azure data load utilities.
- Experience with CI/CD pipelines.
- Experience with cloud computing concepts.
- Experience with tools such as Azure Monitor, Azure Data Factory, SQL Analytics, Query Performance Insight, Azure Resource Manager, Pearl, and Azure CLI/Power Shell for infrastructure management.
- Experience In Mentoring Others In The Needed Technologies.
- Experience developing and implementing backup and recovery strategies using tools such as Azure Backup or Geo-replication.
- Experience with role-based access control, encryption, and network security.
- Strong organizational and time management skills.
- Desired 10 years' experience in data architecture or data management.
- Knowledge of data concepts, data modeling, schema design, and indexing strategies.
- Knowledge of Azure SQL instances, managed instances, and elastic pools.
- Knowledge of Data Warehouse Administration and Teradata Data Warehouse.
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