Databricks Admin Pro & Data Engineering Lead

Accenture; Milwaukee (WI); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

401(k) plan

Paid time off

Learning resources

Job summary

Accenture is seeking a Data Engineer to design, develop, and maintain data solutions. You will build data pipelines, ensure data quality, and oversee ETL migrations across systems, collaborating with multiple teams to deliver scalable data architectures.

The role emphasizes senior technical leadership, cross-functional collaboration, and continuous adoption of new data technologies to improve performance and reliability within a fixed-duration project environment.

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. Expert proficiency in Snowflake (Platform) is recommended. Expert proficiency in Data Migrations, Data Engineering, Data Pipelines, and Data Processing is suggested.
• 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

Snowflake Platform

Data Migrations

Data Engineering

Data Pipelines

Data Processing

Team Mentoring

Education

High School Diploma/GED

Tools

Databricks

Snowflake

Job description

Accenture is seeking a Data Engineer to design, develop, and maintain data solutions. You will build data pipelines, ensure data quality, and oversee ETL migrations across systems, collaborating with multiple teams to deliver scalable data architectures.

The role emphasizes senior technical leadership, cross-functional collaboration, and continuous adoption of new data technologies to improve performance and reliability within a fixed-duration project environment.