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MNIT​/DCYF CCWIS Data Architect

Job in Minneapolis, Hennepin County, Minnesota, 55400, USA
Listing for: TechWish
Full Time position
Listed on 2026-08-08
Job specializations:
  • IT/Tech
    Azure, Data Engineering
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
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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