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# Data Warehouse Architect

- **Company:** Stellar Professionals
- **Location:** Lansing, MI, United States
- **Experience:** Experienced
- **Contract:** Contract
- **Skills:** Sql Data Warehouse, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Cloud Database, Information Systems, Computer Programming, Databases, Directed Acyclic Graph (Directed Graphs), Data Governance, Data Transformation, Data Sharing, Data Warehousing, DevOps, Github, R (Programming Language), Python (Programming Language), NoSQL, Operational Data Store, Operational Databases, Query Optimization, Power BI, DataOps, SQL Databases, Tableau (Software), Unstructured Data, YAML, Enterprise Data Management, Parquet, Google Cloud, Apache Spark, Pyspark, Kubernetes, Information Technology, AWS Glue, Apache Kafka, Terraform, Docker, Jenkins, Amazon Redshift, Databricks
- **Published:** November 13, 2026
- **Apply:** https://www.dice.com/job-detail/4e2de318-a251-445d-9a24-da207130caf4

## About the Role

Work Arrangement: Hybrid (Mandatory in-office on Wednesdays & Thursdays - no remote-only option)

Education: Bachelor's Degree in Computer Science, Data Science, or Information Systems

About the Position

We are looking for a hands-on Lead Data Engineer / Cloud Data Warehouse Architect to design, build, and optimize scalable cloud data pipelines, Lakehouse architectures, and enterprise data/ML products. In this position, you will establish data engineering best practices, enforce data governance policies, mentor engineering staff, and collaborate across data science and analytics teams.

Must-Have Skills & Experience

 * Cloud Data Lake Engineering (4+ Years): Hands-on experience ingesting relational, semi-structured, and unstructured data into enterprise Data Lakes (AWS, Azure, or Google Cloud Platform) via Extract & Load pipelines.
 * Data Transformation & Lineage (4+ Years): Transforming cloud Data Lake datasets into production Data Products with clear traceability to Critical Data Elements (CDEs) in source systems.
 * Data Modeling & Programming (4+ Years): Strong proficiency in SQL, Python, PySpark, and R, query tuning, Star-schema operational data stores, and Lakehouse / Medallion Architecture (Parquet formats).
 * Data Governance & Access Control (2+ Years): Enforcing row/column-level Data Sharing Policies so subscribers only access entitled data versions.
 * Communication: Clear, concise written and verbal communication to lead technical discussions and mentor peers.

Preferred Tech Stack

 * Cloud & Big Data: Databricks, Spark, Kafka, AWS Glue, Redshift Spectrum, SageMaker, DBT
 * DevOps & Orchestration: Terraform, Docker, Kubernetes, GitHub, Jenkins, YAML, DAGs
 * Databases & BI: Relational, NoSQL, Graph DBs, Power BI, Tableau

## Description

We are looking for a hands-on Lead Data Engineer / Cloud Data Warehouse Architect to design, build, and optimize scalable cloud data pipelines, Lakehouse architectures, and enterprise data/ML products. In this position, you will establish data engineering best practices, enforce data governance policies, mentor engineering staff, and collaborate across data science and analytics teams.