Senior Azure Databricks Engineer

TekWissen ®; Glendale (AZ); On-site; USD 71,000 - 92,000; Part time

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

Location: Glendale, AZ, 85301

Duration: 12 Months

Job Type: Temporary Assignment

Work Type: Onsite

Pay Rate: $51.40-$66.71/Hr

Overview

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client is a trusted engineering, construction and project management partner to industry and government. Differentiated by the quality of their people and their relentless drive to deliver the most successful outcomes, they align their capabilities to their customers objectives to create a lasting positive impact. Since 1898, they helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital services, and made the world a safer, cleaner place.

Job Desription

• Collaborate with Data Platforms and Integration team in architecting and implementing scalable enterprise data platform solutions utilizing Azure Databricks, Delta Lake, Unity Catalog, Azure Data Lake Storage Gen2, and related Azure services.
• Design and develop enterprise data engineering frameworks supporting batch, streaming, ELT/ETL, and real-time analytics workloads.
• Administer and maintain Azure Databricks workspaces including cluster configuration, job scheduling, workspace administration, Unity Catalog implementation, secret management, compute policies, cluster policies, and workspace governance.
• Define and implement enterprise security architecture including identity integration with Microsoft Entra ID (Azure AD), Role-Based Access Control (RBAC), Privileged Identity Management (PIM), data encryption, private networking, managed identities, Key Vault integration, and secure access patterns.
• Establish enterprise data governance standards utilizing Unity Catalog including data lineage, data quality, metadata management, catalog organization, access policies, and audit capabilities.
• Optimize Databricks workloads through performance tuning, Spark optimization, cluster sizing, workload isolation, caching strategies, partitioning, Delta optimization, Photon, and cost optimization best practices.
• Design enterprise monitoring, logging, operational dashboards, alerting, and platform health monitoring utilizing Azure Monitor, Log Analytics, Application Insights, and Databricks system tables.
• Develop reusable architecture patterns, reference implementations, development standards, naming conventions, coding standards, operational procedures, and platform documentation.
• Support migration of legacy enterprise data warehouses, ETL solutions, and reporting platforms to Azure Databricks and modern Lakehouse architecture.
• Provide technical support and troubleshooting for production incidents related to Azure Databricks, Spark workloads, data pipelines, and platform infrastructure.

Requirements

• At least 8-10 years of experience in designing and implementing enterprise data platforms;
• At least 5 years of hands-on experience hands-on Azure Databricks experience in enterprise environments;
• Experience with architecting modern Lakehouse solutions using Azure Databricks and Delta Lake;
• Experience in administering Azure Databricks workspaces, clusters, Unity Catalog, compute policies, job orchestration, and workspace security;
• Experience in developing data engineering solutions using Apache Spark (PySpark and/or Spark SQL);
• Experience in implementing enterprise data governance utilizing Unity Catalog, metadata management, data lineage, and fine-grained access controls;
• Experience designing and working with enterprise security architectures including RBAC, Managed Identities, Private Endpoints, Key Vault integration, encryption, and network security;
• Experience implementing enterprise data quality frameworks, monitoring, observability, and operational dashboards;
• Strong understanding of data modelling techniques including dimensional modelling, Data Vault, medallion architecture, and enterprise data warehouse concepts;
• Strong knowledge of Azure Data Lake Storage Gen2, Azure Key Vault, Azure Monitor, Microsoft Entra ID (Azure AD), and Azure networking;
• Strong SQL programming skills and proficiency in Python and PySpark development
• Strong experience implementing CI/CD pipelines utilizing Azure DevOps, automated testing, release management, and deployment automation

TekWissen Group is an equal opportunity employer supporting workforce diversity.