Hybrid Data Warehouse Architect - Lakehouse & ML Pipelines

GSK Solutions Inc.; Lansing (MI); Hybrid; USD 110,000 - 117,000; Full time

Job summary

GSK Solutions Inc. is seeking a Data Warehouse Architect lead in Lansing, MI. The role focuses on data modeling, Lakehouse and ML product delivery within an agile DevOps framework, leveraging Spark, Kafka, Kubernetes, SageMaker, DBT, and visualization tools like Power BI or Tableau.

You will guide a team, design robust pipelines, and partner with data scientists and business users to enable analytical and operational ML workloads.

Qualifications

• 4+ years hydrating Data Lake on a cloud provider (AWS/Azure/GCP).
• 4+ years transforming datasets to deliver data products with traceable attributes.
• 2+ years enforcing data sharing policies and access control.

Responsibilities

• Oversee design, development, and maintenance of data pipelines for analytics and operations.
• Architect and optimize data infrastructure, storage, orchestration, ETL/ELT.
• Ensure data quality, reliability, and security with governance practices.
• Lead and mentor data engineering staff and review designs.
• Collaborate with data scientists, analysts, product teams, and stakeholders to meet goals.

Skills

Data modeling

Mentoring

DevOps practices

Cross-functional collaboration

Education

Bachelor's Degree

Tools

Spark

Kafka

Kubernetes

SageMaker

DBT

Docker

Power BI/Tableau

Job description

GSK Solutions Inc. is seeking a Data Warehouse Architect lead in Lansing, MI. The role focuses on data modeling, Lakehouse and ML product delivery within an agile DevOps framework, leveraging Spark, Kafka, Kubernetes, SageMaker, DBT, and visualization tools like Power BI or Tableau.

You will guide a team, design robust pipelines, and partner with data scientists and business users to enable analytical and operational ML workloads.