Azure Bachelors Degree Architect

COOLSOFT; Lansing (MI); Hybrid; USD 85,000 - 110,000; Part time

Job summary

COOLSOFT in Lansing, MI is seeking an Azure Bachelors Degree Architect to lead cloud data architecture, with responsibilities spanning data lake hydration, data product development, and policy enforcement across AWS/Azure environments.

The role is contract-based for 11 months with a DOE compensation structure. Start date is 12/10/2026 and end date 11/01/2027. A hybrid schedule requires in-office presence on Wednesdays and Thursdays, with local relocation options considered.

Qualifications

• Minimum 4 years of hands-on data lake hydration on a cloud provider (AWS, Azure, or Google).
• Minimum of 4 years hands-on experience transforming datasets in a Data Lake to deliver Data Products with traceability to the system of record.
• Minimum of 2 years enforcing Data Sharing Policies for Data Products at time of subscription.

Responsibilities

• Oversee the design, development, and maintenance of data pipelines for analytics and operational systems.
• Architect and optimize data infrastructure, including storage solutions, orchestration frameworks, and ETL/ELT processes.
• Ensure data quality, reliability, and security by establishing standards and governance practices.
• Lead and mentor data engineering staff, providing technical guidance and code reviews.
• Collaborate with cross-functional teams to deliver Data/ML products.

Skills

AWS Certified Solutions Architect Prod

Azure

Data Sharing

Education

Bachelors Degree

Job description

Azure Bachelors Degree Architect

(Jobs in Lansing, MI)

Requirement id 159546

Job title Architect

Job location in Lansing, MI

Skills required AWS Certified Solutions Architect Prodessional, Azure, Data Sharing, Bachelors Degree

Open Date 12-Nov-2026

Close Date

Job type Contract

Duration 11 Months

Compensation DOE

Status requirement ---

Job interview type ---

Job Description Architect: AWS Certified Solutions Architect Prodessional, Azure, Data Sharing, Bachelors Degree

Start date: 12/10/2026

End Date : 11/01/2027

Submission deadline: 11/19/2026 10:00:00 AM

Client Info: DHHS

Note

• Interview Process: Virtual and In-Person. 1st round is virtual, 2nd round is in-person.
• Hybrid Work Schedule: Wednesday and Thursday are REQUIRED in-office days. This is NON-NEGOTIABLE and there is NO remote only option.
• Local candidates vs non-local: Open to candidates local to the Lansing Michigan area and those willing to relocate.

Description

Data Engineering Lead excels in data modeling, Lakehouse and Medallion Architecture concepts, and data/ML products delivery using an agile DevOps framework with a mastery of distributed data architectures essential for data, analytical and operational ML applications with demonstrated proficiency in frameworks including Spark, Kafka, Kubernetes, SageMaker, DBT, Juniper Notebooks, Docker, SQL, and visualization tools such as Power BI/Tableau with the following track record:

Required Education:

Bachelors Degree

Required Skills:

1. Minimum 4 years of hand-on experience is required in hydrating the enterprise Data Lake on a Cloud Service Provider (AWS, Azure, or Google) from relational, semi-structured and unstructured data sources by building Extract and Load Data Pipelines.
2. Minimum of 4 years hands-on experience is required in Transforming the datasets in a Data Lake on a Cloud Service Provider to deliver Data Products with traceability of their attributes / features to the Critical Data Elements in the systems of record.
3. Minimum of 2 years experience is required in enforcing Data Sharing Policies to Data Products to ensure that User get to see only the version of the Data Product the User is entitled to get access to at the time of subscription.

Preferred Skills

• O Proficiency desirable in DevOps tools including Github/Jenkins/Terraform/YAML/DAGs/Docker/Databricks/SageMaker etc. for building Data/ML pipelines to extract/store data from multiple sources to parquet destinations.
• O Experience desirable in promoting Data Engineering Standards and Best Practices among the community of developers to influence the enterprise towards building scalable and supportable Data/ML Products delivery and their usage by the community of data, analytics, and ML product users.
• O Experience desirable in implementing Data Governance and Data Security tools available on a CSP to automate the enforcement of Data Sharing Policies at the point of subscription of a Data Product by a subscriber.

Roles and Responsibilities:

Data Engineering Lead excels in data modeling, Lakehouse, and ML products delivery using an agile DevOps framework with a mastery of distributed data architectures essential for data, analytical and operational ML applications with demonstrated proficiency in frameworks including DataBricks, Sagemaker, Spark, Kafka, Kubernetes, SQL, NoSQL DBs, Graph DBs, and visualization tools such as Power BI/Tableau.

The Data Engineer Lead serves as the primary State of Michigan technology lead engaging with the UoM proof of concept team to support best practice adoption within the state hosting environment and provides training to DAV data engineers. This roles responsibilities include:

• Oversee the design, development, and maintenance of data pipelines that move, transform, and prepare data for analytics and operational systems.
• Architect and optimize data infrastructure, including storage solutions, orchestration frameworks, and ETL/ELT processes.
• Ensure data quality, reliability, and security by establishing standards, monitoring systems, and implementing validation and governance practices.
• Lead and mentor data engineering staff, providing technical guidance, reviewing designs/code, and supporting professional growth.
• Collaborate with cross functi

EOE Protected Veterans/Disability

EOE Protected Veterans/Disability