Lead Data Engineer - Data Platform

First Citizens Bank is seeking an experienced Lead Data Engineer to join its Data Platform Engineering Organization. The role leads the design, development, and modernization of enterprise data platforms supporting analytics, reporting, business intelligence, and operational decision-making, while mentoring engineers and driving engineering excellence.

Responsibilities:

• Lead the design, development, and implementation of enterprise data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related cloud technologies
• Develop and support data warehouses, Operational Data Stores (ODS), and ETL/ELT pipelines that enable analytics, reporting, and operational data capabilities
• Design and implement batch and real-time data processing solutions using modern streaming and event-driven architectures
• Partner with business stakeholders, analysts, and technology teams to translate business requirements into scalable data solutions
• Define and promote data quality strategies, testing standards, governance practices, and compliance controls across the data platform lifecycle
• Establish enterprise testing practices, including data validation frameworks, dbt testing standards, and quality controls to support trusted data products
• Define monitoring, observability, and operational reliability standards, including dashboards, alerts, service-level objectives (SLOs), and service-level agreements (SLAs) for enterprise data platforms
• Establish deployment strategies, environment promotion standards, and release governance practices that support secure and reliable delivery across enterprise data platforms
• Contribute to technical discussions, peer reviews, and knowledge-sharing initiatives across the data engineering team
• Leverage AI-powered development and productivity tools to accelerate solution delivery, improve code quality, and enhance engineering productivity

Requirements:

• This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Texas and Florida
• Bachelor's Degree and 6 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines
• High School Diploma or GED and 10 years of experience in the same areas
• Advanced experience with cloud platforms such as AWS, Azure, or GCP
• Advanced experience with modern data warehousing and large-scale data processing technologies such as Snowflake, Spark, or equivalent platforms
• Advanced proficiency in Python and SQL
• Advanced experience designing, developing, orchestrating, and supporting ETL/ELT pipelines and data integration solutions using tools such as dbt, Apache Airflow, Astronomer, or equivalent cloud-native data engineering technologies
• Advanced experience with data modeling, data warehousing, and data engineering best practices
• Experience designing, developing, and supporting scalable, reliable, and high-performing data engineering solutions in enterprise environments
• Experience collaborating with business and technology stakeholders to deliver data-driven solutions
• Strong analytical, problem-solving, and communication skills
• Advanced experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies
• Experience developing and supporting Operational Data Stores (ODS), analytics platforms, and data products
• Experience with Snowflake Cortex, Change Data Capture (CDC), streaming, and real-time data ingestion technologies including Kafka, Amazon Kinesis, Qlik Replicate, Snow pipe Streaming, or equivalent platforms
• Experience integrating data across AWS, on-premises, and Snowflake environments, with exposure to enterprise security, governance, and compliance frameworks
• Experience with Data Vault modeling and modern data warehousing methodologies
• Experience leading technical initiatives, mentoring team members, and promoting engineering best practices
• Experience within Financial Services, Banking, or other highly regulated industries
• Familiarity with Tableau, Power BI, or other analytics and visualization platforms
• Experience using AI-powered development and productivity tools to improve engineering efficiency and delivery outcomes
• AWS Certified Data Engineer – Associate, AWS Certified Solutions Architect – Associate or Professional, SnowPro Core Certification, SnowPro Advanced Data Engineer Certification, or equivalent cloud and data platform certifications