Lead Data Engineer

First Citizens Bank

. Lead the design, development, and implementation of enterprise data solutions using AWS Services, Snowflake, dbt, Python, SQL, and related cloud technologies .

Posted 11/2/2026full-timeRemote • United StatesSenior💰 $128,935 - $168,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing enterprise data solutions using AWS Services, Snowflake, and Python, while ensuring data quality and compliance. Proven ability to lead technical initiatives, mentor teams, and collaborate with stakeholders to deliver scalable data engineering solutions.

Highest-signal resume keywords

AWS ServicesSnowflakePythonETL/ELT PipelinesData Warehousing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData ModelingData Engineering Best PracticesData Integration SolutionsBatch ProcessingReal-Time Data ProcessingData Validation FrameworksMonitoring StandardsData Quality StrategiesCloud Data Platforms

Soft Skills

CollaborationMentoringCommunicationProblem-SolvingTechnical Leadership

Tools & Technologies

DbtApache AirflowSparkKafkaAmazon KinesisTableauPower BIDataStageInformaticaSnowpipe Streaming

Certifications & Qualifications

AWS Certified Data EngineerAWS Certified Solutions ArchitectSnowPro CoreSnowPro Advanced Data Engineer

Industry Keywords

Financial ServicesBankingComplianceGovernanceOperational Data Stores

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudETLGoogle Cloud PlatformInformaticaKafkaPythonSnowflakeSparkSQLSSISTableauVault

About the role

Key responsibilities & impact

Lead the design, development, and implementation of enterprise data solutions using AWS Services, Snowflake, dbt, Python, SQL, and related cloud technologies
Develop and support data warehouses, Operational Data Stores, and ETL/ELT pipelines for analytics, reporting, and operational data capabilities
Design and implement batch and real-time data processing solutions using streaming and event-driven architectures
Partner with business stakeholders, analysts, and technology teams to translate requirements into scalable data solutions
Define and promote data quality strategies, testing standards, governance practices, and compliance controls
Establish testing practices including data validation frameworks, dbt testing standards, and quality controls
Define monitoring, observability, and operational reliability standards, including dashboards, alerts, SLOs, and SLAs
Establish deployment strategies, environment promotion standards, and release governance practices
Contribute to technical discussions, peer reviews, and knowledge-sharing initiatives
Leverage AI-powered development and productivity tools to accelerate delivery, improve code quality, and enhance productivity
Mentor engineering talent and collaborate with engineers, product partners, and business stakeholders to deliver enterprise data products and cloud-based data solutions

Requirements

What you’ll need

Bachelor's Degree and 6 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines; OR 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 dbt, Apache Airflow, Astronomer, or equivalent 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
Experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies is a plus
Experience developing and supporting Operational Data Stores, analytics platforms, and data products is a plus
Experience with Snowflake Cortex, CDC, streaming, and real-time data ingestion technologies including Kafka, Amazon Kinesis, Qlik Replicate, Snowpipe Streaming, or equivalent platforms is a plus
Experience integrating data across AWS, on-premises, and Snowflake environments, with exposure to enterprise security, governance, and compliance frameworks is a plus
Experience with Data Vault modeling and modern data warehousing methodologies is a plus
Experience leading technical initiatives, mentoring team members, and promoting engineering best practices is a plus
Experience within Financial Services, Banking, or other highly regulated industries is a plus
Familiarity with Tableau, Power BI, or other analytics and visualization platforms is a plus
Experience using AI-powered development and productivity tools is a plus
AWS Certified Data Engineer, AWS Certified Solutions Architect, SnowPro Core, SnowPro Advanced Data Engineer, or equivalent certifications are a plus

Benefits

Comp & perks

Competitive, thoughtfully designed and quality benefits program
Variable incentives, bonuses, benefits, and/or other awards may be included in total compensation