Senior Data Engineer – Data Platform

First Citizens Bank

. Design and implement scalable, efficient data architectures .

Posted 11/2/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable data architectures, developing advanced ETL processes, and ensuring compliance with data governance and quality standards. Proficient in leveraging cloud platforms and modern data warehousing technologies to deliver data-driven solutions in enterprise environments.

Highest-signal resume keywords

Data Architecture DesignETL/ELT Process DevelopmentCloud Platforms (AWS, Azure, GCP)Data Governance and ComplianceData Warehousing Technologies (Snowflake, Spark)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLData ModelingData Integration SolutionsChange Data Capture (CDC)Real-Time Data IngestionData Quality ManagementData Warehousing Best PracticesData Pipeline DevelopmentData Governance Policies

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication SkillsMentoringCollaboration

Tools & Technologies

DbtApache AirflowDataStageSAP BODSSSISInformaticaKafkaAmazon KinesisTableauPower BI

Certifications & Qualifications

AWS Certified Data Engineer – AssociateAWS Certified Developer – AssociateSnowPro Core CertificationSnowPro Advanced Data Engineer Certification

Industry Keywords

Financial ServicesBankingData GovernanceData QualityRegulated Industries

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudETLGoogle Cloud PlatformInformaticaKafkaPythonSnowflakeSparkSQLSSISTableauVault

About the role

Key responsibilities & impact

Design and implement scalable, efficient data architectures
Lead development of data strategy aligned with business objectives
Evaluate and integrate new technologies to enhance data capabilities
Architect and implement complex real-time and batch data pipelines
Optimize data flows for high-volume, high-velocity data environments
Develop advanced ETL processes for diverse data sources
Establish and enforce data governance policies and best practices
Implement data quality frameworks and monitoring systems
Ensure compliance with data regulations and standards
Analyze and optimize system performance for large-scale data operations
Troubleshoot complex data issues and implement robust solutions
Mentor junior data engineers and provide technical guidance
Contribute to best practices and standards
Collaborate with cross-functional teams to drive data literacy
Collaborate with engineers, product partners, and business stakeholders to deliver cloud-based data solutions supporting critical business initiatives

Requirements

What you’ll need

Bachelor's Degree and 4 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines, OR High School Diploma or GED and 8 years of experience in those 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 and Spark
Advanced proficiency in Python and SQL
Advanced experience developing and supporting ETL/ELT processes, data pipelines, and data integration solutions using tools such as dbt, Apache Airflow, Astronomer, or equivalent 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, or Snowpipe Streaming
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
AWS Certified Data Engineer – Associate, AWS Certified Developer – Associate, SnowPro Core Certification, SnowPro Advanced Data Engineer Certification, or equivalent certifications are listed as additional qualifications/a plus

Benefits

Comp & perks

Competitive, thoughtfully designed and quality benefits program
Benefits information available at https://jobs.firstcitizens.com/benefits