Senior Azure Databricks Lakehouse Architect (Onsite)

TekWissen ®

Glendale (AZ)

On-site

USD 71,000 - 92,000

Part time

45 hours ago
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Job summary

TekWissen Group is seeking an experienced Enterprise Data Platform Engineer to design and implement scalable data solutions on Azure Databricks, Delta Lake, and Unity Catalog.

You will administer Databricks workspaces, enforce security with Entra ID, RBAC and Key Vault, and guide migrations toward Lakehouse architectures, delivering reliable ETL/ELT pipelines, governance, and observability to support enterprise analytics.

Qualifications

  • 8-10+ years in designing enterprise data platforms.
  • 5+ years hands-on Azure Databricks in enterprise envs.
  • Experience with Lakehouse solutions using Delta Lake.
  • Administering Databricks workspaces, Unity Catalog, compute policies, and security.
  • Proficient in Apache Spark (PySpark) and Spark SQL.

Responsibilities

  • Architect scalable enterprise data platform solutions on Azure Databricks and related Azure services.
  • Design data engineering frameworks for batch, streaming, ELT/ETL, and real-time analytics.
  • Administer Databricks workspaces, clusters, Unity Catalog, and security configurations.
  • Define enterprise security architecture including RBAC, Entra ID, PIM, Key Vault integration.
  • Establish data governance with Unity Catalog: lineage, metadata, access policies.

Skills

Azure Databricks
Delta Lake
PySpark
Spark SQL
RBAC
Azure AD (Entra ID)
Key Vault
Data governance
CI/CD
Python

Tools

Azure Databricks
Delta Lake
Unity Catalog
Azure Data Lake Storage Gen2
Key Vault
Azure Monitor
Log Analytics
Application Insights
Azure DevOps

Job description

TekWissen Group is seeking an experienced Enterprise Data Platform Engineer to design and implement scalable data solutions on Azure Databricks, Delta Lake, and Unity Catalog.

You will administer Databricks workspaces, enforce security with Entra ID, RBAC and Key Vault, and guide migrations toward Lakehouse architectures, delivering reliable ETL/ELT pipelines, governance, and observability to support enterprise analytics.

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