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, Snowflake, and Python, while ensuring data quality and compliance. Proven ability to lead data engineering initiatives, mentor teams, and collaborate with stakeholders to deliver scalable data products.

Highest-signal resume keywords

AWS ServicesSnowflakePythonSQLETL/ELT Pipelines

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData WarehousingData ModelingData IntegrationBatch ProcessingReal-Time ProcessingData Quality StrategiesData Validation FrameworksCloud Data PlatformsData Governance

Soft Skills

Analytical SkillsProblem-SolvingCommunication Skills

Tools & Technologies

DbtApache AirflowKafkaAmazon KinesisTableauPower BIAI-Powered Development Tools

Certifications & Qualifications

AWS Certified Data EngineerAWS Certified Solutions ArchitectSnowPro CoreSnowPro Advanced Data Engineer

Industry Keywords

Financial ServicesBankingCompliance FrameworksOperational Data StoresAnalytics Platforms

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 business requirements into scalable data solutions
Define and promote data quality strategies, testing standards, governance practices, and compliance controls
Establish enterprise 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 engineering 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 and Spark
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 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
Preferred: experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies
Preferred: experience with Operational Data Stores, analytics platforms, and data products
Preferred: experience with Snowflake Cortex, CDC, streaming, and real-time data ingestion technologies including Kafka, Amazon Kinesis, Qlik Replicate, Snowpipe Streaming, or equivalent platforms
Preferred: experience integrating data across AWS, on-premises, and Snowflake environments, with exposure to enterprise security, governance, and compliance frameworks
Preferred: experience with Data Vault modeling and modern data warehousing methodologies
Preferred: experience leading technical initiatives, mentoring team members, and promoting engineering best practices
Preferred: experience within Financial Services, Banking, or other highly regulated industries
Preferred: familiarity with Tableau, Power BI, or other analytics and visualization platforms
Preferred: experience using AI-powered development and productivity tools
Preferred: AWS Certified Data Engineer, AWS Certified Solutions Architect, SnowPro Core, SnowPro Advanced Data Engineer, or equivalent certifications

Benefits

Comp & perks

Variable incentives, bonuses, benefits, and/or other awards may be included in total compensation
Competitive, thoughtfully designed and quality benefits program
Benefits information provided at https://jobs.firstcitizens.com/benefits