Databricks Technical Lead Organization

Maruthi Technologies Inc
Dallas, TX, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

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
+13 more
Cloud Services DataOps SQL Databases Data Processing Enterprise Software Applications Apache Spark Electronic Medical Records Data Lakes Pyspark Data Management Data Pipelines Cisco Databricks

Job 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

Requirements

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

About the company

Since 2004, Anblicks has been helping customers across the globe, enabling them with digital transformation services. Anblicks specialized in delivering Big Four consulting experience to mid-size enterprises. Anblicks employs more than 400 technology professionals and over 100 data analysts and data science experts. With a focus on Logistics, Healthcare, BFSI and Retail industries, Anblicks continues to drive technology innovation while providing customers with world-class levels of services and support. Anblicks is headquartered in Dallas, Texas with additional offices in other U.S. states, Canada and India.

Company Size: 1,500 to 1,999 employees

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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Separating dataset creation from low-level software implementation steps

Jan Zawadzki · World Congress 2022

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Harnessing Spark with Python using PySpark and Py4J

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Key takeaways and accessing the Databricks developer toolkit

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

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