Databricks Admin SME

Job Title: Databricks Admin SME

Location: Dallas, TX (Onsite/Hybrid as per client requirement)

Duration: 12+ month Contract

JOB DESCRIPTION

:
Looking for Visa independent only No EA

Ds
At least 15 years of experience in IT cloud infrastructure, architecture and operations, including security, with at least 5 years in a Platform admin r

ole
Databricks

SME
Data BI & Integration Platforms is seeking an experienced Cloud Platform Databricks SME, responsible for overseeing the Platform administration, Security, new NPI tools integration, migrations, platform maintenance and other platform administration activities on Azure

/AWS.
The ideal candidate will have hands-on experience with Azure/AWS services – Infrastructure as Code (IaC), platform provisioning & administration, cloud network design, cloud security principles and autom

ation.
Job Responsib

ilitiesDatabricks 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 responsibi

lities:
Core Technical Responsi

• bilities
  Architect and optimize big data pipelines using Apache Spark, Delta Lake, and Databricks-nati
• ve tools.Design scalable data ingestion and transformation workflows, including batch and streaming (e.g., Kafka, Spark Structured St
• reaming).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 te
• chniques.Support migration of legacy systems to Databricks on cloud platforms like Azure, AWS
• , or GCP.Manage cloud platform operations with a focus on FinOps support, optimizing resource utilization, cost visibility, and governance across multi-cloud envi

ronments.

Collaboration Advisory
Act as a technical advisor to data engineering and analytics teams, guiding best practices and perform

• ance tuning.Partner with architects and business stakeholders to align Databricks solutions with enter
• prise goals.Lead proof-of-concept (PoC) initiatives to demonstrate Databricks capabilities for specifi

c use cases.
Strategic & Leadership

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

architectures.
Specialized Expertise (Optiona

• l but Valuable)
  Machine Learning & AI integration using MLflow, AutoML, o
• r custom models.Cost optimization and workload sizing for large-scale
• data processing.Compliance and audit readiness for regul