Senior/Lead Data Engineer

Overview

Hybrid
80,000 - 120000
Full Time
No Travel Required
Unable to Provide Sponsorship

Skills

spark
Python
pipelines
Data Security
Databricks
Data Modeling

Job Details

Position:  Senior/Lead Data Engineer

Location: Alpharetta, GA,

Duration: Fulltime Position

 

Skills: Java, Python, Spark

 

Job Description:

We are looking for an experienced Senior/Lead Data Engineer with 8+ years of expertise in designing and delivering scalable, high-performing data solutions on the Azure ecosystem.

The ideal candidate will have deep hands-on experience with Databricks, Spark, modern data lakehouse architectures, data modelling, and both batch and real-time data processing. You will be responsible for driving end-to-end data engineering initiatives, influencing architectural decisions, and ensuring robust, high-quality data pipelines.

 

Must-Haves :

  • 8+ years of hands-on data engineering experience in enterprise environments.
  • Strong expertise in Azure services, especially Azure Databricks, Functions, and Azure Data Factory (preferred).
  • Advanced proficiency in Apache Spark with Python (PySpark).
  • Strong command over SQL, query optimization, and performance tuning.
  • Deep understanding of ETL/ELT methodologies, data pipelines, and scheduling/orchestration.
  • Hands-on experience with Delta Lake (ACID transactions, optimization, schema evolution).
  • Strong experience in data modelling (normalized, dimensional, lakehouse modelling).
  • Experience in both batch processing and real-time/streaming data (Kafka, Event Hub, or similar).
  • Solid understanding of data architecture principles, distributed systems, and cloud-native design patterns.
  • Ability to design end-to-end solutions, evaluate trade-offs, and recommend best-fit architectures.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to collaborate with cross-functional teams and lead technical discussions.

 

Preferred Skills:

  • Experience with CI/CD tools such as Azure DevOps and Git.
  • Familiarity with IaC tools (Terraform, ARM).
  • Exposure to data governance and cataloging tools (Azure Purview).

Experience supporting machine learning or BI workloads on Databricks

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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