Remote Lead Data Engineer – Cloud Data & Analytics

First Citizens; Raleigh (NC); Remote; USD 129,000 - 168,000; Full time

Job summary

First Citizens Bank seeks a Lead Data Engineer to drive the design, development, and modernization of enterprise data platforms powering analytics, BI, and decision-making. The role emphasizes cloud data platforms, data warehousing, ETL/ELT, and modern engineering practices using AWS, Snowflake, dbt, Python, and SQL.

You will mentor engineers, collaborate with product partners and stakeholders, and advance governance, testing, and reliability across the data platform lifecycle while leveraging

Qualifications

• Bachelor's Degree and 6 years of experience in Data Engineering or related fields.
• High School Diploma or GED and 10 years of relevant experience.
• Experience with AWS, Snowflake, Python, SQL, and ETL/ELT pipelines.

Responsibilities

• Lead design, development, and implementation of enterprise data solutions using AWS, Snowflake, and dbt.
• Develop and support data warehouses and ETL/ELT pipelines for analytics and reporting.
• Design batch and real-time data processing using streaming architectures.
• Partner with stakeholders to translate requirements into scalable data solutions.
• Define data quality, testing standards, governance practices, and compliance controls.
• Establish monitoring, observability, and deployment strategies for data platforms.

Skills

AWS

Snowflake

dbt

Python

SQL

Airflow

Kafka

Kinesis

Data warehousing

Data modeling

Education

Bachelor's Degree

High School Diploma or GED

Tools

Astronomer

Tableau

Power BI

Snowflake Cortex

CDC

Qlik Replicate

Job description

First Citizens Bank seeks a Lead Data Engineer to drive the design, development, and modernization of enterprise data platforms powering analytics, BI, and decision-making. The role emphasizes cloud data platforms, data warehousing, ETL/ELT, and modern engineering practices using AWS, Snowflake, dbt, Python, and SQL.

You will mentor engineers, collaborate with product partners and stakeholders, and advance governance, testing, and reliability across the data platform lifecycle while leveraging