Iceberg Technology Group

Azure Database Engineer - St. Paul, MN - Remote/Hybrid

Iceberg Technology Group · Roseville, Minnesota, United States

Information Technology & Services · 51-200 employees

2 d ago
Senior (5-10 yrs) Contractor United States
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About the role

The Azure Database Engineer will design, develop, and implement Azure databases and data lakes to support a centralized data lakehouse initiative. Responsibilities include maintaining data security, optimizing data workflows, and providing mentorship to other database engineers.

What they look for

Azure Data Lake Databricks Oracle Data Transformation Cloud Infrastructure CI/CD Pipelines Azure Data Factory SQL Analytics Azure CLI PowerShell Data Modeling Azure SQL Data Warehouse Administration Teradata Disaster Recovery

Requirements

Candidates should have at least 7 years of experience in designing and implementing Azure-based data solutions, including relational and non-relational databases. Proficiency in Databricks, Oracle, CI/CD pipelines, and various Azure management tools is required.

Full 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.