Databricks Lead

Tata Consultancy Services Limited
Raleigh, NC, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$100,000.0 - $140,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Business Analytics Applications Data Analysis Microsoft Azure Information Engineering Extract Transform Load (ETL) Data Transformation Python (Programming Language) Performance Tuning Power BI DataOps Search Technologies
+10 more
SQL Databases Unstructured Data Cloud Platform System Large Language Models Prompt Engineering Apache Spark Pyspark Information Technology Data Pipelines Databricks

Job description

We are seeking a hands-on Databricks Data Engineer to design, develop, and optimize data pipelines and analytics solutions. The ideal candidate will have strong experience in data engineering, ETL development, and production support, ensuring reliable, scalable, and high-performing data operations within Azure environment and can work in a fast-paced environment. Knowledge of insurance domain and Power BI is a plus but not mandatory. Development

  • Design, develop, and deploy scalable ETL/ELT data pipelines using Apache Spark, PySpark, and Databricks.

  • Develop and optimize SQL queries for data transformation and analysis.

  • Collaborate with product owners, data architects and analysts to build data models, delta lake structures, and data workflows.

  • Collaborate with data analysts and business teams to deliver actionable insights.

  • Build job orchestration and monitoring solutions

  • Ensure data quality, performance, and reliability across workflows.

  • Develop and maintain CI/CD pipelines for Databricks notebooks, jobs, and workflows.

  • Work with cloud-based data platforms (Azure preferred).

GenAI & Databricks Genie Development

  • Build natural language query interfaces (Genie / AI assistants) over enterprise data

  • Develop RAG-based solutions integrating structured & unstructured data

  • Implement prompt engineering, embeddings, vector search, and LLM orchestration

Requirements

Do you have experience in System tuning?, Do you have a Bachelor’s degree?, * 10+ years overall experience in data engineering or related fields.

  • 3-5 years hands-on experience with Databricks and Spark.

  • Strong proficiency in SQL and data analysis techniques.

  • Experience with ETL processes, data modeling, and performance tuning.

  • Familiarity with Python or Scala for data engineering tasks.

  • Excellent problem-solving and communication skills., Qualifications : BACHELOR OF COMPUTER SCIENCE

Benefits & conditions

(part of Tata group) 3.93.9 out of 5 stars Raleigh, NC $100,000 - $140,000 a year

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

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

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

2:00 min

Separating dataset creation from low-level software implementation steps

Jan Zawadzki · WWC 2022

1:46 min

Traditional data architecture before Microsoft Fabric

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · WWC 2025

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:48 min

Standardizing data access schemas with OData

Florian Bader Florian Bader · WWC Europe 2026

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

Videos

See all

Related articles

See all