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# Databricks Technical Lead Organization

- **Company:** Maruthi Technologies Inc
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Unity 3d, Amazon Web Services, Amazon S3, Microsoft Azure, Cloud Computing, Cyber Security, Databases, Data Architecture, Extract Transform Load (ETL), Data Security, Performance Tuning, Systems Development Life Cycle, Cloud Services, DataOps, SQL Databases, Data Processing, Enterprise Software Applications, Apache Spark, Electronic Medical Records, Data Lakes, Pyspark, Data Management, Data Pipelines, Cisco, Databricks
- **Published:** August 29, 2026
- **Apply:** https://www.careerbuilder.com/job-details/databricks-technical-lead-dallas-tx--e15572c2-7de7-4823-b427-227dee772433

## About the Role

Technical Skills

 * Strong hands-on experience with Databricks Platform
 * Expertise in Apache Spark (PySpark / Scala / SQL)
 * Experience with Delta Lake, Unity Catalog, and Lakehouse architecture
 * Proficiency in data pipelines, ETL/ELT frameworks
 * Strong experience in SQL and data modeling
 * Hands-on experience with cloud platforms:
 * Azure (ADF, ADLS, Synapse) OR
 * AWS (S3, Glue, EMR) OR

Skills:
Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Apache Spark, Best Practices, Cisco Unity, Cloud Computing, Cost Control, Data Management, Data Modeling, Data Processing, Database Extract Transform and Load (ETL), Electronic Medical Records, GCP (Good Clinical Practices), Information/Data Security (InfoSec), Mentoring, Microsoft Windows Azure, Performance Tuning/Optimization, Regulatory Compliance, SQL (Structured Query Language), Scala Programming Language, Scalable System Development, Technical Leadership, Use Cases

## Description

* Design and implement end-to-end data architecture using Databricks Lakehouse platform
 * Define data engineering best practices and build scalable ETL/ELT pipelines
 * Architect solutions leveraging Apache Spark (PySpark/Scala) and Databricks workflows
 * Implement Delta Lake for data reliability, performance, and governance
 * Collaborate with stakeholders to understand business requirements and translate them into technical solutions
 * Optimize performance, cost, and scalability of data pipelines
 * Provide technical leadership, mentoring data engineers and developers
 * Ensure data security, governance, and compliance standards are met
 * Integrate Databricks with cloud services (Azure, AWS, or GCP) and other enterprise systems
 * Support real-time and batch data processing use cases


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