Databricks Admin & Data Pipeline Lead

Information Technology Senior Management Forum; Chicago (IL); On-site; USD 105,000 - 126,000; Full time

Job summary

Accenture Flex is hiring 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 deploy ETL processes across systems while guiding a team and collaborating with multiple groups.

The role emphasizes expert Databricks Administration, Snowflake platform mastery, and experience with data migrations, pipelines, and processing to improve data workflows and reliability.

Qualifications

• Minimum 4 years of work experience.
• Master proficiency in Databricks Administration is required.
• High School Diploma/GED.

Responsibilities

• Master proficiency in Databricks Administration is required.
• Develop and optimize scalable data architectures to support evolving business needs and 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

Data Engineering

Data Pipelines

Data Processing

Education

High School Diploma/GED

Tools

Snowflake Platform

Job description

Accenture Flex is hiring 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 deploy ETL processes across systems while guiding a team and collaborating with multiple groups.

The role emphasizes expert Databricks Administration, Snowflake platform mastery, and experience with data migrations, pipelines, and processing to improve data workflows and reliability.