Data base Administrator

Machine Learning Technologies, LLC; Lansing (MI); On-site; USD 120,000 - 180,000; Full time

Job summary

Machine Learning Technologies, LLC in Lansing, MI is seeking a senior Cloud & Data Warehouse Engineer to own Azure-based data platforms and ensure alignment with enterprise data standards.

You will architect, migrate, and optimize databases, design scalable ETL pipelines, and lead performance tuning across DEV/QA/Prod while coordinating releases with Azure DevOps and Scrum teams.

Qualifications

• Minimum 12 years of hands-on database administration and data management.
• Deep expertise in Azure Database Services and SQL data modeling.
• Advanced T-SQL writing, stored procedures, and query optimization.
• Experience with Azure DevOps and Scrum in delivering database solutions.

Responsibilities

• Architect, migrate, and maintain Azure database services per CEDS standards.
• Design, build, and troubleshoot complex ETL pipelines in cloud.
• Perform data modeling, DDL/DCL object creation, tuning, and recovery.
• Upgrade database server infrastructure and enforce security controls.
• Coordinate releases using Azure DevOps, PowerShell, and Scrum practices.

Skills

Azure Database Services

SQL Data Modeling

ETL Development

T-SQL

PowerShell Scripting

Azure DevOps

Scrum

Tools

SQL Server

Azure DevOps

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization:US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Key Responsibilities:

• Cloud & Data Warehouse Engineering: Serve as SME for the SLDS data warehouse; architect, migrate, and maintain Azure Database Services while aligning with CEDS standards.
• ETL Pipeline Development & Data Modeling: Design, build, and troubleshoot complex data extraction, transformation, and loading (ETL) pipelines; transition legacy on-premise ETLs to cloud infrastructure.
• Database Administration & Performance Tuning: Perform physical and logical data modeling, DDL/DCL object creation, index/memory distribution monitoring, performance tuning, and recovery procedures across Dev, QA, Pre-Release, and Production environments.
• Infrastructure & Security Governance: Upgrade database server infrastructure, monitor agency disaster recovery systems, implement security access controls, and enforce architectural frameworks.
• DevOps & Agile Delivery: Utilize Azure DevOps, PowerShell scripting, and Scrum practices to coordinate database releases with application developers and business stakeholders.

Required Qualifications & Experience:

• Overall Industry Experience (12+ Years Required): Minimum 12 years of hands‑on experience in database administration and enterprise data management.
• Core Technical Specialties (At least 3–5 Years Required): Deep technical expertise in Azure Database Services, SQL Data Modeling/Structure, and Extensive ETL Development.
• T‑SQL Proficiency (8–10 Years Required): Advanced T‑SQL writing, stored procedure development, query optimization, and DDL/DCL scripting.
• ETL Development (6–8 Years Required): Extensive track record building, testing, and optimizing complex ETL processes.
• PowerShell Scripting (5 Years Required): Hands‑on experience automating database administrative tasks using PowerShell.
• Azure DevOps & Scrum (5 Years Required): Proven experience delivering database solutions within Azure DevOps and Scrum agile frameworks.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.