Data Warehouse Architect / Data Engineering Lead

🚀 WE ARE HIRING! | Data Warehouse Architect / Data Engineering Lead (Level 3)

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📍 Location: Lansing, MI 48933

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🏢 Work Mode: Hybrid – Wednesday & Thursday mandatory onsite

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💼 Experience: 11+ Years

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🎯 Interview: Virtual & In-Person

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✈️ Occasional travel to Ann Arbor for in-person meetings.

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Job Overview:

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We are looking for an experienced Data Engineering Lead / Data Warehouse Architect with strong expertise in enterprise data architecture, Lakehouse, Medallion Architecture, data engineering, and AI/ML data products.

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The ideal candidate will lead the design and development of scalable data pipelines, optimize cloud data infrastructure, and drive data engineering best practices.

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🔑 Required Technical Skills:

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• Strong experience in Data Engineering, Data Modeling & Data Warehouse Architecture.
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• Hands-on experience with AWS / Azure / GCP cloud platforms.
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• Expertise in Databricks, PySpark, Apache Spark, Python, SQL & R.
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• Strong understanding of Lakehouse & Medallion Architecture (Bronze, Silver, Gold).
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• Experience building ETL/ELT pipelines from relational, semi-structured & unstructured data sources.
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• Expertise in Data Lake, Parquet, Data Products & Data Governance.
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• Experience with Kafka, Kubernetes, Docker & NoSQL / Graph Databases.
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• Knowledge of AWS Glue, Redshift Spectrum & SageMaker.
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• Experience with Power BI / Tableau and Star Schema data modeling.
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• Familiarity with DBT, Terraform, GitHub, Jenkins, YAML & DAGs.
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Key Responsibilities:

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• Lead the design, development, and maintenance of enterprise data pipelines.
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• Architect scalable cloud-based data infrastructure and Lakehouse solutions.
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• Ensure data quality, security, governance, and data-sharing policies.
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• Lead and mentor data engineering teams.
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• Collaborate with data scientists, analysts, and business stakeholders.
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• Drive data engineering standards and best practices.
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Preferred Qualifications:

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• Experience implementing enterprise Data Governance and Data Security policies.
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• Experience delivering scalable Data/ML products.
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• Strong DevOps and automation experience for data pipeline deployment.
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📩 Interested candidates can share their updated resumes via DM.

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#Hiring #DataWarehouseArchitect #DataEngineeringLead #DataEngineer #Databricks #PySpark #Python #SQL #AWS #Azure #GCP #Lakehouse #MedallionArchitecture #DataArchitecture #PowerBI #SageMaker #MichiganJobs #ITJobs #DHHS