Sr. Data Engineer (Databricks and Unity Catalog)

Overview

Remote
Depends on Experience
Full Time

Skills

Sr Databrick Engineer
Databricks and Unity Catalog
PySpark
Scala
or SQLfor data processing.
(Azure
AWS
or GCP)and their respectivedata services.
Databricks
Unity Catalog

Job Details

Position: Sr. Data Engineer (Databricks and Unity Catalog)

100% Remote

Hiring: Contract / Fulltime

 

Top Required skills =  Databricks and Unity Catalog

 

Key Responsibilities:

  • Design and implement scalable data pipelinesand ETL workflows using Databricks.
  • Implement Unity Catalogfor data governance, access control, and metadata management across multiple workspaces.
  • Develop Delta Lake architecturesfor optimized data storage and retrieval.
  • Establish best practices for data security, compliance, and lineage trackingin Unity Catalog.
  • Optimize data lakehouse architecturefor performance and cost efficiency.
  • Collaborate with data scientists, engineers, and business teamsto support analytical workloads.
  • Monitor and troubleshoot Databricks clusters, performance tuning, and cost management.
  • Implement data quality frameworksand observability solutions to maintain high data integrity.
  • Work with Azure/AWS/Google Cloud Platform cloud environmentsto deploy and manage data solutions.

 

Required Skills & Qualifications:

  • 10 years of experience in data engineering, data architecture, or cloud data solutions.
  • Strong hands-on experience with Databricks and Unity Catalog.
  • Expertise in PySpark, Scala, or SQL for data processing.
  • Deep understanding of Delta Lake, Lakehouse architecture, and data partitioning strategies.
  • Experience with RBAC, ABAC, and access control mechanisms within Unity Catalog.
  • Knowledge of data governance, compliance standards (GDPR, HIPAA, etc.), and audit logging.
  • Familiarity with cloud platforms (Azure, AWS, or Google Cloud Platform)and their respective data services.
  • Strong understanding of CI/CD pipelines, DevOps, and Infrastructure as Code (IaC).
  • Experience integrating BI tools (Tableau, Power BI, Looker) and ML frameworks is a plus.
  • Excellent problem-solving, communication, and collaboration skills.

 

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.