Demo

Databricks Admin

Apex 2000
Dallas, TX Contractor
POSTED ON 5/19/2026
AVAILABLE BEFORE 6/18/2026

Databricks Admin
Location: Dallas, TX
Duration: 9-12 Month

JD:

Job Responsibilities

Job Responsibilities Databricks Subject Matter Expert (SME) plays a pivotal role in admin, security best practices, platform sustain support, new tools adoption, cost optimization, supporting new patterns/design solutions using the Databricks platform. Here s a breakdown of typical responsibilities:

Core Technical Responsibilities

  • Architect and optimize big data pipelines using Apache Spark, Delta Lake, and Databricks-native tools.
  • Design scalable data ingestion and transformation workflows, including batch and streaming (e.g., Kafka, Spark Structured Streaming).
  • Create integration guidelines to configure and integrate Databricks with other existing security tools relevant to data access control.

  • Implement data security and governance using Unity Catalog, access controls, and data classification techniques.
  • Support migration of legacy systems to Databricks on cloud platforms like Azure, AWS, or Google Cloud Platform.
  • Manage cloud platform operations with a focus on FinOps support, optimizing resource utilization, cost visibility, and governance across multi-cloud environments.

Collaboration & Advisory

  • Act as a technical advisor to data engineering and analytics teams, guiding best practices and performance tuning.
  • Partner with architects and business stakeholders to align Databricks solutions with enterprise goals.
  • Lead proof-of-concept (PoC) initiatives to demonstrate Databricks capabilities for specific use cases.

Strategic & Leadership Contributions

  • Mentor junior engineers and promote knowledge sharing across teams.
  • Contribute to platform adoption strategies, including training, documentation, and internal evangelism.
  • Stay current with Databricks innovations and recommend enhancements to existing architectures.

Specialized Expertise (Optional but Valuable)

  • Machine Learning & AI integration using MLflow, AutoML, or custom models.
  • Cost optimization and workload sizing for large-scale data processing.
  • Compliance and audit readiness for regulated industries.

Qualifications

  • Bachelor s degree in computer science.
  • At least 12 years of experience in IT cloud infrastructure, architecture and operations, including security, with at least 5 years in a Platform admin role
  • Strong understanding of data security principles and best practices.
  • Expertise in Databricks platform, security features, Unity Catalog, and data access control mechanisms.
  • Experience with data classification and masking techniques.
  • Strong understanding of cloud cost management, with hands-on experience in usage analytics, budgeting, and cost optimization strategies across multi-cloud platforms.
  • Strong knowledge of cloud architecture, design, and deployment principles and practices, including microservices, serverless, containers, and DevOps.
  • Deep expertise in Azure/AWS big data & analytics technologies, including Databricks, real time data ingestion, data warehouses, serverless ETL, No SQL databases, DevOps, Kubernetes, virtual machines, web/function apps, monitoring and security tools.
  • Deep expertise in Azure/AWS networking and security fundamentals, including network endpoints & network security groups, firewalls, external/internal DNS, load balancers, virtual networks and subnets.
  • Proficient in scripting and automation tools, such as PowerShell, Python, Terraform, and Ansible.
  • Excellent problem-solving, analytical, and communication skills, with the ability to explain complex technical concepts to non-technical audiences.
  • Certifications in Azure/AWS/Databricks platform administration, networking and security are preferred.
  • Strong self-organization, time management and prioritization skills
  • A high level of attention to detail, excellent follow through, and reliability
  • Strong collaboration, teamwork and relationship building skills across multiple levels and functions in the organization
  • Ability to listen, establish rapport, and credibility as a strategic partner vertically within the business unit or function, as well as with leadership and functional teams
  • Strategic thinker focused on business value results that utilize technical solutions
  • Strong communication skills in writing, speaking, and presenting
  • Capable to work effectively in a multi-tasking environment.
  • Fluent in English language.

plays a pivotal role in admin, security best practices, platform sustain support, new tools adoption, cost optimization, supporting new patterns/design solutions using the Databricks platform. Here s a breakdown of typical responsibilities:

Core Technical Responsibilities

  • Architect and optimize big data pipelines using Apache Spark, Delta Lake, and Databricks-native tools.
  • Design scalable data ingestion and transformation workflows, including batch and streaming (e.g., Kafka, Spark Structured Streaming).
  • Create integration guidelines to configure and integrate Databricks with other existing security tools relevant to data access control.

  • Implement data security and governance using Unity Catalog, access controls, and data classification techniques.
  • Support migration of legacy systems to Databricks on cloud platforms like Azure, AWS, or Google Cloud Platform.
  • Manage cloud platform operations with a focus on FinOps support, optimizing resource utilization, cost visibility, and governance across multi-cloud environments.

Collaboration & Advisory

  • Act as a technical advisor to data engineering and analytics teams, guiding best practices and performance tuning.
  • Partner with architects and business stakeholders to align Databricks solutions with enterprise goals.
  • Lead proof-of-concept (PoC) initiatives to demonstrate Databricks capabilities for specific use cases.

Strategic & Leadership Contributions

  • Mentor junior engineers and promote knowledge sharing across teams.
  • Contribute to platform adoption strategies, including training, documentation, and internal evangelism.
  • Stay current with Databricks innovations and recommend enhancements to existing architectures.

Specialized Expertise (Optional but Valuable)

  • Machine Learning & AI integration using MLflow, AutoML, or custom models.
  • Cost optimization and workload sizing for large-scale data processing.
  • Compliance and audit readiness for regulated industries.

Qualifications

  • Bachelor s degree in computer science.
  • At least 12 years of experience in IT cloud infrastructure, architecture and operations, including security, with at least 5 years in a Platform admin role
  • Strong understanding of data security principles and best practices.
  • Expertise in Databricks platform, security features, Unity Catalog, and data access control mechanisms.
  • Experience with data classification and masking techniques.
  • Strong understanding of cloud cost management, with hands-on experience in usage analytics, budgeting, and cost optimization strategies across multi-cloud platforms.
  • Strong knowledge of cloud architecture, design, and deployment principles and practices, including microservices, serverless, containers, and DevOps.
  • Deep expertise in Azure/AWS big data & analytics technologies, including Databricks, real time data ingestion, data warehouses, serverless ETL, No SQL databases, DevOps, Kubernetes, virtual machines, web/function apps, monitoring and security tools.
  • Deep expertise in Azure/AWS networking and security fundamentals, including network endpoints & network security groups, firewalls, external/internal DNS, load balancers, virtual networks and subnets.
  • Proficient in scripting and automation tools, such as PowerShell, Python, Terraform, and Ansible.
  • Excellent problem-solving, analytical, and communication skills, with the ability to explain complex technical concepts to non-technical audiences.
  • Certifications in Azure/AWS/Databricks platform administration, networking and security are preferred.
  • Strong self-organization, time management and prioritization skills
  • A high level of attention to detail, excellent follow through, and reliability
  • Strong collaboration, teamwork and relationship building skills across multiple levels and functions in the organization
  • Ability to listen, establish rapport, and credibility as a strategic partner vertically within the business unit or function, as well as with leadership and functional teams
  • Strategic thinker focused on business value results that utilize technical solutions
  • Strong communication skills in writing, speaking, and presenting
  • Capable to work effectively in a multi-tasking environment.
  • Fluent in English language.

Salary : $55 - $58

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