Senior Databricks Administrator/Architect

We currently have a vacancy for a Senior Databricks Administrator/Architect fluent in English, to offer his/her services as an expert remotely. In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team.

Your tasks:

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, Azure Data Factory, Azure Event Hub, Azure SQL, 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;

Deploy and Configure CI/CD pipelines utilizing Azure DevOps and Databricks Asset Bundles (DAB), Infrastructure as Code (Terraform/Bicep where applicable), deployment automation, release management, and environment promotion strategies;

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

University degree in combined with relevant IT professional experience of 9 years;

At least 8 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 implementing Infrastructure as Code using Terraform and/or Bicep;

Strong experience implementing CI/CD pipelines utilizing Azure DevOps, automated testing, release management, and deployment automation;

Experience designing and working with enterprise security architectures including RBAC, Managed Identities, Private Endpoints, Key Vault integration, encryption, and network security;