Databricks

Data Platform Engineer with Databricks & Unity Catalog- Seattle WA

Databricks$80K — $87K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of experience in data architecture and engineering
  • Proficient in Databricks, Unity Catalog, Privacera, and Collibra
  • Strong understanding of data governance practices
  • Experience with ETL processes and data quality management
  • Skilled in operationalizing Machine Learning models in data pipelines

Responsibilities

  • Design and implement data architecture using Databricks and Unity Catalog
  • Develop, optimize, and manage ETL data pipelines with a focus on integrity
  • Create and maintain data models while ensuring compliance with data governance
  • Establish a data governance strategy for metadata management and quality
  • Collaborate with teams to translate business needs into scalable solutions

Benefits

  • Flexible rate negotiable for the right candidate
  • Opportunity to work in a collaborative, cross-functional environment
  • Hands-on experience with cutting-edge data technologies
  • Exposure to both batch and real-time data processing
  • Work in a structured office environment for four days a week
Full Job Description
Need someone for Data Platform Engineer with Databricks and Unity Catalog. Data Platform Engineer with Databricks and Unity Catalog. location Seattle WA 4 days office is must any visa is fine rate- 80-87- flexible for right candidate core skills Experience - 10+ years Design and implement data architecture leveraging technologies such as Databricks, Unity Catalog, Privacera, and Collibra. Develop, optimize, and manage data pipelines for ETL processes using Databricks, with a focus on data integrity and quality. Design and maintain data models and scpersonmas, incorporating Unity Catalog and Collibra data governance practices. Ensure data security and compliance with regulations using Databricks and Privacera's features. Establish a robust data governance strategy, defining standards, metadata management, lineage, and quality practices. Operationalize Machine Learning models in Batch and Real Time Data Pipelines, leveraging relevant governance setups. Collaborate with cross-functional teams including data scientists, engineers, and analysts to translate business requirements into scalable solutions Enable Skills-Based Hiring No Can we use Freelancer? Additional Details Global Grade : D Can we use Freelancer? : No Named Job Posting? (if Yes - needs to be approved by SCSC) : No Remote work possibility : (No Value) Global Role Family : 60239 (P) Cloud Infrastructure Local Role Name : Data Platform Engineer with Databricks & Unity Catalog- Local Skills : Data Platform Engineer with Databricks & Unity Catalog- Languages Required: : english

About Databricks

Databricks is a unified analytics platform that provides data engineering, collaborative data science, and machine learning capabilities. The company was founded in 2013 by the original creators of Apache Spark, a popular open-source big data processing engine. Databricks provides a cloud-based platform that allows data teams to collaborate and build data pipelines, run machine learning models, and perform advanced analytics. The company has raised over $1 billion in funding and is valued at $38 billion as of November 2021.
Learn more about Databricks
Size
2,000 employees
Industry
Founded
2013

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