HCLTech – Hungary

Developer

HCLTech – Hungary  •  Onsite  •  3 hours ago
Apply
AI can make mistakes so check important info. Chat history is never stored.

Job Description

Job Summary

Highly skilled Databricks Platform Specialist to oversee, secure, and optimize our enterprise data ecosystem on AWS.

In this role, you will be the core architect of our Databricks workspace administration, governance framework, and multi-source data integrations.

You will bridge the gap between infrastructure automation and data engineering, ensuring our medallion architecture is scalable,

highly secure, cost-effective, and fully observable.

Key Responsibilities

Strong hands-on experience with Databricks Platform Engendering and Administration

      Disaster Recovery - Multi region

      Workspace Management

      Unity Catalog Management - Familiarity with Unity Catalog and Databricks governance features.

      User Management

      Governance & Security

      Infrastructure as Code (IaC) & Automation - CI/CD

      Optimization, Monitoring & Operations

      Dashboards - Cost monitoring

      Data source connections - Data bricks, Informatica, sap Analytics[cloud] and other different data sources

Genie spaces, Databricks applications

      Mosaic AI Agent Framework/ MOdel Training

Strong hands-on experience with Databricks on AWS, including Delta Lake and S3.

Proficiency in Python and SQL for data engineering tasks.

Experience working within a medallion architecture framework.

Experience with model monitoring, alerting, and pipeline observability.

Strong documentation and communication skills.

Ability to quickly integrate into an existing team and architecture.

Familiarity with data privacy, compliance, and security best practices in cloud environments.

Key Responsibilities

Highly skilled Databricks Platform Specialist to oversee, secure, and optimize our enterprise data ecosystem on AWS.

In this role, you will be the core architect of our Databricks workspace administration, governance framework, and multi-source data integrations.

You will bridge the gap between infrastructure automation and data engineering, ensuring our medallion architecture is scalable,

highly secure, cost-effective, and fully observable.

Key Responsibilities

Strong hands-on experience with Databricks Platform Engendering and Administration

      Disaster Recovery - Multi region

      Workspace Management

      Unity Catalog Management - Familiarity with Unity Catalog and Databricks governance features.

      User Management

      Governance & Security

      Infrastructure as Code (IaC) & Automation - CI/CD

      Optimization, Monitoring & Operations

      Dashboards - Cost monitoring

      Data source connections - Data bricks, Informatica, sap Analytics[cloud] and other different data sources

Genie spaces, Databricks applications

      Mosaic AI Agent Framework/ MOdel Training

Strong hands-on experience with Databricks on AWS, including Delta Lake and S3.

Proficiency in Python and SQL for data engineering tasks.

Experience working within a medallion architecture framework.

Experience with model monitoring, alerting, and pipeline observability.

Strong documentation and communication skills.

Ability to quickly integrate into an existing team and architecture.

Familiarity with data privacy, compliance, and security best practices in cloud environments.

Skill Requirements

Highly skilled Databricks Platform Specialist to oversee, secure, and optimize our enterprise data ecosystem on AWS.

In this role, you will be the core architect of our Databricks workspace administration, governance framework, and multi-source data integrations.

You will bridge the gap between infrastructure automation and data engineering, ensuring our medallion architecture is scalable,

highly secure, cost-effective, and fully observable.

Key Responsibilities

Strong hands-on experience with Databricks Platform Engendering and Administration

      Disaster Recovery - Multi region

      Workspace Management

      Unity Catalog Management - Familiarity with Unity Catalog and Databricks governance features.

      User Management

      Governance & Security

      Infrastructure as Code (IaC) & Automation - CI/CD

      Optimization, Monitoring & Operations

      Dashboards - Cost monitoring

      Data source connections - Data bricks, Informatica, sap Analytics[cloud] and other different data sources

Genie spaces, Databricks applications

      Mosaic AI Agent Framework/ MOdel Training

Strong hands-on experience with Databricks on AWS, including Delta Lake and S3.

Proficiency in Python and SQL for data engineering tasks.

Experience working within a medallion architecture framework.

Experience with model monitoring, alerting, and pipeline observability.

Strong documentation and communication skills.

Ability to quickly integrate into an existing team and architecture.

Familiarity with data privacy, compliance, and security best practices in cloud environments.

Other Requirements

Highly skilled Databricks Platform Specialist to oversee, secure, and optimize our enterprise data ecosystem on AWS.

In this role, you will be the core architect of our Databricks workspace administration, governance framework, and multi-source data integrations.

You will bridge the gap between infrastructure automation and data engineering, ensuring our medallion architecture is scalable,

highly secure, cost-effective, and fully observable.

Key Responsibilities

Strong hands-on experience with Databricks Platform Engendering and Administration

      Disaster Recovery - Multi region

      Workspace Management

      Unity Catalog Management - Familiarity with Unity Catalog and Databricks governance features.

      User Management

      Governance & Security

      Infrastructure as Code (IaC) & Automation - CI/CD

      Optimization, Monitoring & Operations

      Dashboards - Cost monitoring

      Data source connections - Data bricks, Informatica, sap Analytics[cloud] and other different data sources

Genie spaces, Databricks applications

      Mosaic AI Agent Framework/ MOdel Training

Strong hands-on experience with Databricks on AWS, including Delta Lake and S3.

Proficiency in Python and SQL for data engineering tasks.

Experience working within a medallion architecture framework.

Experience with model monitoring, alerting, and pipeline observability.

Strong documentation and communication skills.

Ability to quickly integrate into an existing team and architecture.

Familiarity with data privacy, compliance, and security best practices in cloud environments.

HCLTech – Hungary

About HCLTech – Hungary

HCLTech is a global technology company, home to more than 226,600 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2025 totaled $14.2 billion. To learn how we can supercharge progress for you, visit hcltech.com.

Industry
IT & Software
Company Size
51-200 employees
Headquarters
Budapest, HU
Year Founded
2006
Social Media