Manager, Data Engineering

United Community Bank; Greenville (SC); Vor Ort; USD 84.000 - 139.000; Vollzeit

Zusammenfassung

United Community Bank seeks a Manager of Data Engineering to lead a team that builds and operates critical data pipelines and platforms. You will mentor engineers, set technical direction, and unblock complex problems while staying hands-on.

Within Enterprise Data, you will own ingestion, transformation, and platform layers end-to-end, ensuring data is accurate, timely, and traceable to sources. Collaboration with governance and analytics is essential.

Qualifikationen

• Bachelor's degree or above in a related field; master’s preferred.
• 7-10 years in data engineering, data warehousing, or data platform engineering, including leadership experience.

Aufgaben

• Lead a team of data engineers and data platform engineers with coaching, guidance, and performance management.
• Own the design, build, and operation of ingestion and transformation pipelines delivering data to the enterprise platform.
• Oversee migration of workloads to cloud data platform while maintaining on-prem operations.
• Maintain raw/historized data layer with Data Vault standards and load patterns.
• Ensure data governance, security, and cost management across pipelines.

Kenntnisse

Cloud data platforms

Advanced SQL

Data Vault modeling

Dimensional modeling

Batch data ingestion

Production data ops

Cross-functional collaboration

Communication with executives

Ausbildung

Bachelor's degree or above

Master’s degree preferred

Tools

Snowflake

Coalesce

SQL Server

SSIS

NiFi/Openflow

Jobbeschreibung

Overview

United Community is seeking a Manager of Data Engineering to lead the team that builds and operates the pipelines and platforms every analytics product in the bank depends on. This is both a leadership and a hands-on role: you will manage and mentor a team of data engineers and data platform engineers while staying close enough to the work to set technical direction, review builds, and unblock complex problems.

Sitting within Enterprise Data, you will own our ingestion, transformation, and platform layer end to end, from source system connectivity and pipeline orchestration through modeled, historized data the analytics layer can consume without rework. You will partner with the analytics and data governance functions so that the data the bank relies on is accurate, timely, and traceable to its source.

What You’ll Do

• Lead a team of data engineers and data platform engineers, providing coaching, guidance, performance management, and career development
• Set technical direction for the data engineering and platform layer, staying hands-on with development on highly visible, high-impact solutions
• Own the design, build, and operation of ingestion and transformation pipelines that deliver source data into the enterprise data platform on a reliable schedule
• Advance the migration of workloads from the on-premises environment to the cloud data platform while sustaining on-premises operations and service levels through the transition
• Own the raw and historized data layer, including Data Vault modeling standards, load patterns, and the conventions the team builds against
• Own data platform administration, including environment and role structure, compute sizing, performance tuning, and consumption cost management
• Establish and enforce engineering standards for version control, code review, testing, deployment, and environment promotion
• Ensure production reliability through monitoring, alerting, documented recovery procedures, and clear ownership of pipeline failures
• Partner with Information Security and Infrastructure on connectivity, access provisioning, and credential management for data platform components
• Serve as the primary point of contact for third-party vendors, managing those relationships and holding partners accountable to delivery and quality expectations
• Ensure pipelines and components adhere to enterprise data governance and security standards, partnering with the data governance function
• Maintain documentation for pipelines, data models, platform configuration, and operational runbooks
• Identify and define process-improvement and modernization opportunities across the data engineering stack
• Compliance Training: Participate in all required compliance training, including Bank Secrecy Act/anti-money laundering training, as well as internal and external training programs, online training, meetings, and seminars/conferences, etc.
• Other Duties: This job description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice.

Requirements For Success

• Education: Bachelor's degree or above in a related field; master’s preferred
• Experience: 7-10 years in data engineering, data warehousing, or data platform engineering, including experience leading or mentoring others
• Required Skills:
  • Hands-on proficiency with cloud data platforms and enterprise data pipeline tooling, with depth in one or more of Snowflake, Coalesce, SQL Server, SSIS, or NiFi/Openflow and the ability to work fluently across a mixed on-premises and cloud environment
  • Advanced SQL, including reading query profiles, diagnosing performance issues, and tuning queries against high-volume tables
  • Working knowledge of data warehousing methodologies, including dimensional (Kimball) modeling and Data Vault
  • Experience designing and operating batch and incremental ingestion from relational, file, and API sources
  • Experience running production data operations, including scheduling, monitoring, incident response, and service level commitments
  • Excellent analytical and problem-solving ability
  • Exceptional communication and presentation skills, with the ability to communicate effectively at every level of the enterprise, from engineers to the C-suite
  • Ability to collaborate across cross-functional teams and translate ambiguous business needs into well-scoped engineering work
• Preferred Skills:
  • Direct experience implementing Data Vault on Snowflake
  • Experience with Coalesce or a comparable metadata-driven transformation platform
  • Experience leading a cloud data platform migration while maintaining legacy operations
  • Snowflake certification, such as SnowPro Core or above
  • Python for data engineering, automation, and tooling
  • Background in banking, financial services, or another regulated industry
  • Experience managing third-party data vendor and consulting relationships

Conditions of Employment

• Must be able to pass a criminal background & credit check

FLSA Status:Exempt

SUPERVISORY RESPONSIBILITY

This position manages employees and is responsible for the coaching, development, and performance management of those employees.

Working Environment and Physical Demands

This job operates in a professional office environment. The role routinely uses standard office equipment such as computers, phones, copy machines, and printers.

Physical requirements: sedentary and typing

Position requires schedule flexibility to work evenings and weekends as needed.

This position requires up to 10% travel.

Position Type

This is a full-time position.

Other

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Pay Range

USD $84,136.00 - USD $139,486.00 /Yr.