Data Engineer - Snowflake

Truist Financial • Charlotte, NC

66d

About The Position

This role involves managing and optimizing Truist's Enterprise Snowflake data warehouse to ensure performance, robust security and seamless scalability. The person will oversee user and role management, implement and support comprehensive security and access controls, monitor and tune system performance and deploy new Snowflake features as they become available. A critical aspect of this role is enforcing Truist's enterprise standards and processes across the Snowflake platform while providing strategic support to delivery teams during their Snowflake onboarding and development initiatives. The role emphasizes automation opportunities to streamline operations and enhance productivity.

Requirements

• Bachelor's degree and five years of experience in systems engineering or administration or equivalent education and related training or experience
• In-depth knowledge of SQL, relational databases, ETL/ELT architecture and concepts, data integration concepts and big data concepts
• Previous experience in planning and managing IT projects

Nice To Haves

• Snowflake experience
• Database administration experience

Responsibilities

• Builds, manages, and implements the data and/or Big Data pipeline capabilities including data modeling, process design and overall data pipeline architecture and all phases of the ETL (extract, transform, and load) processes.
• Drives efforts related to partially to completely automate repeatable data preparation and integration tasks. Partner with technology teams to understand data capture, testing needs, and to build and test end-to-end solutions.
• Analyzes information to determine business needs from requests and implement effective technical solutions by providing problem analysis and resolution in a timely manner and explain and interpret complex, difficult, or sensitive information.
• Takes a new perspective on existing solutions to solve problems of moderate to high complexity and exercise judgment based on the analysis (e.g. modeling, testing, etc.) of multiple sources of information.
• Lead small data engineering projects with manageable risks and resource requirements; plays significant roles in larger, more complex initiatives.

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Life insurance
• Disability insurance
• Accidental death and dismemberment insurance
• Tax-preferred savings accounts
• 401k plan
• 10 days of vacation (prorated)
• 10 sick days (prorated)
• Paid holidays
• Defined benefit pension plan (depending on position)
• Restricted stock units (depending on position)
• Deferred compensation plan (depending on position)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Credit Intermediation and Related Activities
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees