MNIT/DCYF CCWIS Data Architect

TechWish; Minneapolis (MN); Hybrid; USD 120,000 - 180,000; Full time

Job summary

TechWish in Minneapolis is seeking a senior data architecture professional to design and implement scalable Azure-based data platforms. The role emphasizes data lakes, relational and non-relational stores, and cloud integration to drive enterprise governance and analytics.

You will lead modeling, security, and disaster recovery initiatives while mentoring others and coordinating with cross-functional teams to meet security standards.

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/PowerShell 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.

Responsibilities

• 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.

Skills

Azure Data Lake

Databricks

Oracle DB

Data Transformation

CI/CD

Azure Data Factory

Data Modeling

Schema Design

Azure Monitor

Azure CLI

PowerShell

Security RBAC

Mentoring

Backup Recovery

Tools

Azure SQL Managed Instances

Teradata Data Warehouse

Azure Data Factory

Azure CLI/PowerShell

Job description

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/PowerShell 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.