Senior Azure Data Engineer — Databricks Lakehouse (Hybrid)

Yoh, A Day & Zimmermann Company

Plano (TX)

Hybrid

USD 105,000 - 150,000

Full time

47 hours ago

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Benefits offered by this job

Medical, Prescription, Dental & Vision

401K Retirement Savings Plan

Certification and training

Referral Bonus Programs

Job summary

Yoh, a Day & Zimmermann Company, is seeking a Senior Azure Data Engineer with deep Azure Databricks expertise to design, build, and optimize a modern lakehouse data platform in Plano, TX. The role focuses on scalable ETL/ELT pipelines and Delta Lake governance in a hybrid environment.

Collaborate with data architects, data scientists, and stakeholders to deliver trusted datasets and KPIs. You’ll mentor engineers and drive CI/CD for Databricks using Terraform and Azure DevOps while ensuring data

Qualifications

Bachelor’s degree in CS/engineering or equivalent experience.
5+ years data engineering, incl. 3+ years with Azure Databricks / Spark (PySpark).
Strong experience with Delta Lake, Unity Catalog, Databricks notebooks, and SQL warehousing patterns.
Hands-on with ADLS Gen2, Event Hub, ADF, Key Vault, Synapse.

Responsibilities

Design and build scalable ETL/ELT pipelines using Azure Databricks (PySpark, Spark SQL).
Develop ingestion workflows from multiple sources into Bronze/Silver/Gold layers.
Implement Delta Lake and Unity Catalog governance and schema evolution.
Optimize performance and cost via partitioning, caching, and Spark tuning.
Integrate Databricks with ADLS Gen2, ADF, Synapse, Event Hub, Key Vault, and Azure DevOps.
Provide technical leadership through mentoring, code reviews, and architecture guidance.
Partner with analytics teams to deliver trusted datasets, KPIs, and dashboards.