Senior Data Engineer - Data Platform

First Citizens Bank is seeking an experienced Senior Data Engineer to join its Data Platform Engineering Organization. The role focuses on designing scalable cloud-based data architectures, developing advanced batch and real-time data pipelines, optimizing data operations, and establishing data governance and quality practices. The engineer will also mentor junior engineers and collaborate with cross-functional stakeholders to deliver enterprise data solutions.

Responsibilities:

• Data Architecture and Strategy - Design and implement scalable, efficient data architectures. Lead the development of data strategy aligned with business objectives. Evaluate and integrate new technologies to enhance data capabilities
• Advanced Data Pipeline Development - Architect and implement complex data pipelines for real-time and batch processing. Optimize data flows for high-volume, high-velocity data environments. Develop advanced ETL processes for diverse data sources
• Data Governance and Quality Management - Establish and enforce data governance policies and best practices. Implement data quality frameworks and monitoring systems. Ensure compliance with data regulations and standards
• Performance Optimization and Troubleshooting - Analyze and optimize system performance for large-scale data operations. Troubleshoot complex data issues and implement robust solutions
• Mentorship and Knowledge Sharing - Mentor junior data engineers and provide technical guidance. Contribute to the development of best practices and standards. Collaborate with cross-functional teams to drive data literacy

Requirements:

• Bachelor's Degree and 4 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines
• High School Diploma or GED and 8 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines
• • 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 developing and supporting ETL/ELT processes, data pipelines, and data integration solutions utilizing tools such as dbt, Apache Airflow, Astronomer or equivalent cloud-native data engineering technologies
• • Experience with data modeling, data warehousing, and data engineering best practices
• • Experience designing, developing, and supporting scalable and reliable 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
• • Intermediate experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies
• • Intermediate experience developing and supporting Operational Data Stores (ODS), analytics platforms, and data products
• • Intermediate experience with Change Data Capture (CDC), streaming, and real-time data ingestion technologies such as Kafka, Amazon Kinesis, Apache Flink, Qlik Replicate, Snow pipe Streaming, or equivalent platforms
• • Intermediate experience integrating data across cloud and on-premises environments
• • Experience with Data Vault modeling and modern data warehousing methodologies
• • Intermediate understanding of data governance, security, compliance, and data quality management practices
• • Experience working 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 Developer – Associate, SnowPro Core Certification, SnowPro Advanced Data Engineer Certification, or equivalent cloud and data platform certifications