Databricks Admin Architect — Data Pipelines

Accenture; Miami (FL); On-site; USD 105,000 - 126,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k) plan

Paid time off

Job summary

Accenture Flex seeks a Data Engineer to design, implement, and maintain scalable data solutions supporting data generation, collection and processing. You will build and optimize pipelines, ensure data quality, and deploy ETL processes across multiple systems.

You will lead a team, collaborate with diverse groups, and promote best practices in data engineering. Responsibilities include driving data architecture improvements, troubleshooting complex issues, and evaluating new technologies to

Qualifications

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

Responsibilities

• Design, develop, and maintain data solutions to support data generation, collection, and processing.
• Create data pipelines and ensure data quality across systems.
• Implement extract, transform and load processes to migrate and deploy data.
• Lead and mentor team members, guiding best practices in data engineering and administration.
• Collaborate with cross-functional teams to align data work with goals and project requirements.
• Evaluate emerging technologies to improve data workflows and efficiency.

Skills

Databricks Admin

Snowflake Platform

Data Migrations

Data Engineering

Data Pipelines

Data Processing

Cross-Functional Collaboration

Education

High School Diploma/GED

Job description

Accenture Flex seeks a Data Engineer to design, implement, and maintain scalable data solutions supporting data generation, collection and processing. You will build and optimize pipelines, ensure data quality, and deploy ETL processes across multiple systems.

You will lead a team, collaborate with diverse groups, and promote best practices in data engineering. Responsibilities include driving data architecture improvements, troubleshooting complex issues, and evaluating new technologies to