Databricks Admin Specialist - 6456969

Accenture•St. Louis, MO

9d•$51 - $61•Onsite

About The Position

Accenture Flex is hiring a Databricks Admin Specialist for fixed-duration, project-based work. The position is described as a Data Engineer role responsible for designing, developing, and maintaining data solutions that support data generation, collection, and processing. The work includes creating data pipelines, ensuring data quality, and implementing extract, transform, and load processes to migrate and deploy data across systems. The specialist is expected to serve as a subject matter expert, collaborate with and manage the team, take responsibility for team decisions, engage with multiple teams, contribute to key decisions, and solve problems within and across teams. The role requires master proficiency in Databricks Administration. Snowflake Platform proficiency and expertise in data migrations, data engineering, data pipelines, and data processing are recommended or suggested. Accenture Flex employees work onsite at projects in their local metro area, reducing or eliminating travel. Compensation varies by factors including location, role, skills, and experience; listed annual compensation ranges from $50.72 to $60.72 for locations including California, Cleveland, Colorado, District of Columbia, Illinois, Maine, Maryland, Massachusetts, Minnesota, New York, New Jersey, Virginia, and Washington. The posting is anticipated to remain open until October 9, 2026.

Requirements

At least 4 years of work experience in Databricks Administration.
Master proficiency in Databricks Administration.
High school diploma or GED.

Nice To Haves

Expert proficiency in Snowflake Platform.
Expert proficiency in data migrations, data engineering, data pipelines, and data processing.

Responsibilities

Design, develop, and maintain data solutions supporting data generation, collection, and processing.
Create data pipelines, ensure data quality, and implement extract, transform, and load processes to migrate and deploy data across systems.
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.
Collaborate with and manage the team, take responsibility for team decisions, engage with multiple teams, contribute to key decisions, and provide solutions to problems within the immediate team and across multiple teams.