Job Description
AZURE DATABASE ENGINEER - St. Paul, MN - Remote/Hybrid
Iceberg's direct St. Paul, MN Client seeks an Azure Database Engineer.
Client has an initiative to modernize an information system environment with plans to consolidate the data from the 87 databases into a centralized data lake that the new solution will utilize.
As an Azure Database Engineer, this position will participate in the analysis, design, development, implementation, and potentially ongoing support of Azure Databases and Data Lakes, with a primary focus on the Data Lakehouse and its integrated data reserves. The responsibilities will include administering, maintaining, and securing data to ensure efficient and reliable data storage solutions. The position will collaborate with cross-functional teams to optimize data workflows, support data-driven decision-making, and implement best practices for data security and integrity in Azure environments. This position also will provide mentorship to other Database Engineers.
The work is expected to be done remotely or hybrid at Client's St. Paul, MN offices. Local resource preferred.
Project Schedule
Anticipated Project Start Date: September 21, 2026
Anticipated End Date: June 21, 2027
Requirements
Sample Tasks
Develop
and implement relational and non-relational databases in Azure.
Develop
and implement data transformations.
Ensure
data access patterns are optimized.
Maintain
necessary documentation.
Coordinate
with necessary teams to meet security standards.
Implement
disaster recovery solution.
Provide knowledge transfer.
Desired Qualifications
Experience
with designing, developing, and implementing data lakes and relational and
non-relational databases in Azure.
Experience
with Databricks.
Experience
with Oracle databases.
Strong experience
developing and implementing data transformation solutions and cloud
infrastructure integration.
Strong experience
coding and testing programs and scripts to load data using Azure data load
utilities.
Strong 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, 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
7 years’ experience designing, developing, and implementing data lakes and
relational and non-relational databases in Azure.
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.