Senior Data Warehouse Architect — Lakehouse & ML Lead

FastTek Global; Lansing (MI); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Medical and Dental (FastTek pays major

Vision

PTO

Long Term Disability

Life Insurance

401(k) with match

Job summary

Lansing, MI-based Data Warehouse Architect role at FastTek involves leading data modeling and Lakehouse/Medallion architecture efforts, delivering data products with an agile DevOps approach. Expertise in Spark, Kafka, Kubernetes, SageMaker, and DBT is required to drive analytics and ML initiatives in a distributed data environment.

Role emphasizes collaboration with data scientists, analysts, and business stakeholders, plus training and mentoring of data engineers in a state-hosting environment.

Qualifications

• Bachelor's Degree required.
• Minimum 4 years building data pipelines in a cloud lakehouse.
• Experience enforcing data sharing policies and data governance.

Responsibilities

• Architect and maintain data pipelines for analytics and ML applications.
• Design data infrastructure, storage, and orchestration frameworks.
• Ensure data quality, security, and governance standards.
• Mentor data engineers and collaborate with data scientists and product teams.
• Lead cross-functional data initiatives across the organization.

Skills

Data Lake

ETL Pipelines

Cloud CSPs

Data Products

Education

Bachelor's Degree

Tools

Spark

Kafka

Kubernetes

SageMaker

DBT

Docker

Power BI

Tableau

Job description

Lansing, MI-based Data Warehouse Architect role at FastTek involves leading data modeling and Lakehouse/Medallion architecture efforts, delivering data products with an agile DevOps approach. Expertise in Spark, Kafka, Kubernetes, SageMaker, and DBT is required to drive analytics and ML initiatives in a distributed data environment.

Role emphasizes collaboration with data scientists, analysts, and business stakeholders, plus training and mentoring of data engineers in a state-hosting environment.