Databricks Admin Specialist & Data Pipeline Leader

Accenture PLC; Seattle (WA); On-site; USD 70,000 - 84,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Long-term disability

401(k) plan

Paid time off

Job summary

Accenture PLC is seeking a Data Engineer to design, develop, and maintain data solutions supporting data generation, collection, and processing. You will create data pipelines, ensure data quality, and implement ETL processes to migrate data across systems, serving multiple teams.

You will act as a subject matter expert, collaborate with cross-functional teams, and mentor colleagues while driving data engineering best practices and evaluating new technologies to improve workflows and reliability.

Qualifications

• Minimum 4 years of work experience in Databricks Administration.
• Strong background in data migrations, data engineering and data pipelines.
• Experience guiding teams and sharing best practices.

Responsibilities

• Design, develop and maintain scalable data architectures.
• Lead data migrations, pipelines and processing across systems.
• Troubleshoot complex data issues and improve reliability.
• Collaborate with cross-functional teams to align data efforts.
• Mentor colleagues and promote data engineering best practices.
• Evaluate emerging technologies to improve workflows.

Skills

Databricks Administration

Data Migrations

Data Engineering

Data Pipelines

Data Processing

Mentoring / Leadership

Education

High School Diploma/GED

Tools

Snowflake Platform

Job description

Accenture PLC is seeking a Data Engineer to design, develop, and maintain data solutions supporting data generation, collection, and processing. You will create data pipelines, ensure data quality, and implement ETL processes to migrate data across systems, serving multiple teams.

You will act as a subject matter expert, collaborate with cross-functional teams, and mentor colleagues while driving data engineering best practices and evaluating new technologies to improve workflows and reliability.