Databricks Admin Lead — Data Engineering & Pipelines

Accenture; Cleveland (OH); On-site; USD 105,000 - 126,000; Full time

Benefits offered by this job

Medical insurance

Dental coverage

Vision coverage

Long-term disability

401(k) plan

Paid time off

Job summary

Accenture Flex is seeking a Data Engineer to design, develop, and maintain data solutions that support data generation, collection, and processing. You will build data pipelines, ensure data quality, and implement ETL processes across systems, while mentoring others on the team.

You will lead efforts to optimize scalable data architectures, troubleshoot complex data issues, collaborate with cross-functional teams, and stay ahead with emerging technologies to improve data workflows and efficiency.

Qualifications

• Minimum 4 years of work experience.
• Master proficiency in Databricks Administration is required.
• High School Diploma/GED.
• Preferred: Snowflake Platform, Data Migrations, Data Engineering, Data Pipelines, Data Processing.

Responsibilities

• Develop and optimize scalable data architectures to support evolving data strategies.
• Lead efforts to troubleshoot complex data issues and implement robust solutions to enhance system reliability.
• Collaborate with cross-functional teams to align data engineering efforts with organizational goals and project requirements.
• Support and mentor colleagues by sharing expertise and promoting best practices in data engineering and administration.
• Continuously evaluate emerging technologies and tools to improve data workflows and operational efficiency.

Skills

Databricks Administration

Snowflake Platform

Data Migrations

Data Engineering

Data Pipelines

Data Processing

Education

High School Diploma/GED

Job description

Accenture Flex is seeking a Data Engineer to design, develop, and maintain data solutions that support data generation, collection, and processing. You will build data pipelines, ensure data quality, and implement ETL processes across systems, while mentoring others on the team.

You will lead efforts to optimize scalable data architectures, troubleshoot complex data issues, collaborate with cross-functional teams, and stay ahead with emerging technologies to improve data workflows and efficiency.