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Senior Data Platform Engineer Jobs in Raleigh, NC

Data Engineer II

Raleigh, NC · On-site

$111K - $133K/yr

We are seeking a motivated Data Engineer II to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision-making ...

A-82-Scala Developer 66129

Raleigh, NC · On-site

$51.50 - $66.75/hr

The Senior Data Engineer will serve as the primary technical owner responsible for the ongoing ... This mission-critical platform processes provider, member, reference, and encounter data used by ...

Sr. SCADA/HMI Platform Engineer

Benson, NC

$84K - $116K/yr

As the SCADA/HMI Platform Engineer you will technically lead the selection of the SCADA, historian ... Own tag/UDT standards, alarm configuration, historian data acquisition, faceplates, and store-and ...

English (Required) Work Shift: 1st shift (United States of America) Please review the following The Senior ServiceNow Platform Engineer is responsible for the engineering, operations, administration ...

Data Engineer II

Raleigh, NC · On-site +1

$111K - $133K/yr

We are seeking a motivated Data Engineer II to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision-making ...

Data Engineer II

Raleigh, NC · On-site +1

$111K - $133K/yr

We are seeking a motivated Data Engineer II to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision-making ...

... data, while translating Service-Aware Operating Model requirements into scalable workflows and ... platform engineering standards. • Reduce brittle logic, hard-coded dependencies, and ...

Cloud Platform Engineer

Durham, NC · On-site

$53.75 - $72/hr

... Platform Engineer to enhance their AI/ML capabilities. The role involves monitoring system ... data processing workflows. Responsibilities : • Monitor database and system performance using ...

Senior Software Developer

Raleigh, NC · On-site

$53 - $70/hr

Raleigh, NC. (LOCAL) Seeking a Senior Developer to design, build, and optimize cloud infrastructure and data platform integrations using Java-based microservices and distributed systems. Key ...

Atlanta, GA Role Overview The CMDB Platform Engineer is responsible for building and maintaining platform-native capabilities that make service and configuration data reliable and operationally ...

Data Engineer

Durham, NC

$110K - $132K/yr

The Data Engineer is a hands-on technical lead responsible for designing, building, and supporting ... Design, develop, and support scalable enterprise data platforms that enable trusted, governed, and ...

Data Engineer

Durham, NC · On-site

$110K - $132K/yr

The Data Engineer is a hands-on technical lead responsible for designing, building, and supporting ... Design, develop, and support scalable enterprise data platforms that enable trusted, governed, and ...

Showing results 41-60

Senior Data Platform Engineer information

See Raleigh, NC salary details

$78.7K

$122.8K

$170.1K

How much do senior data platform engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for senior data platform engineer in Raleigh, NC is $122,801.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,000.00 and $140,000.00 per year, depending on experience, location, and employer.

What does a senior data platform engineer do?

A Senior Data Platform Engineer is responsible for designing, building, and maintaining large-scale data platforms that support an organization's data analytics and processing needs. They work with various technologies to ensure data is collected, stored, and accessible efficiently and securely. Their role often involves optimizing data pipelines, managing databases, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable data solutions. In addition, they help set best practices and mentor junior engineers on the team.

How does a senior data platform engineer typically collaborate with data scientists and analysts within an organization?

A Senior Data Platform Engineer works closely with data scientists and analysts to understand their data needs and ensure the platform supports efficient data access, processing, and analysis. This often involves designing and implementing data pipelines, optimizing data storage solutions, and ensuring data quality and integrity. Regular communication is essential to align on data requirements, troubleshoot issues, and roll out new platform features that enhance analytical capabilities. Collaboration frequently occurs through agile ceremonies, project meetings, and shared documentation to ensure all stakeholders are aligned and productive.

What are the key skills and qualifications needed to thrive as a senior data platform engineer, and why are they important?

To thrive as a Senior Data Platform Engineer, you need deep expertise in data architecture, database management, ETL design, and programming languages like Python or Java, typically supported by a bachelor's degree in computer science or related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Spark or Hadoop), and certifications in relevant technologies are commonly required. Strong problem-solving, collaboration, and communication skills set top performers apart in this role. These competencies are essential for building robust, scalable data systems that support business intelligence and data-driven decision-making.

What is the difference between Senior Data Platform Engineer vs Data Engineer?

AspectSenior Data Platform EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often certifications in cloud platformsBachelor's in CS, Software Engineering, or related; certifications in data tools are common
Work EnvironmentDesigning, building, and maintaining large-scale data platforms; working with cloud servicesDeveloping data pipelines, ETL processes, and data storage solutions
Industry UsageUsed across tech, finance, healthcare, and retail for managing data infrastructureCommonly employed in similar industries for data processing and integration

The Senior Data Platform Engineer focuses on designing and maintaining scalable data platforms, often with cloud expertise, while Data Engineers primarily develop data pipelines and ETL processes. Both roles require strong technical skills and are vital in data-driven organizations, but the Senior Data Platform Engineer typically has a broader scope and more strategic responsibilities.

What cities near Raleigh, NC are hiring for Senior Data Platform Engineer jobs?

Cities near Raleigh, NC with the most Senior Data Platform Engineer job openings:

$111K - $133K/yr

Full-time

Re-posted 21 hours ago


First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

106th of 171 rated banks


Job description

Overview
This is a remote role that may only be hired in the following location(s): North Carolina, Arizona, Florida and Texas.
We are seeking a motivated Data Engineer II to join our Data Platform Engineering Organization and help build scalable cloud-based data solutions that enable analytics and data-driven decision-making across the organization.
The ideal candidate is a hands-on data engineer with experience in cloud-based data platforms, data warehousing, ETL/ELT development, and modern data engineering practices. This individual will contribute to the development and support of scalable data pipelines, integrations, and data products utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies.
As part of our growing Cloud Data & AI Platform organization, you will collaborate with a talented team of engineers, product partners, and business stakeholders to modernize enterprise data platforms and deliver cloud-based data solutions that support critical business initiatives. This is an opportunity to work with modern technologies, solve complex data challenges, and contribute to the bank's data and AI transformation journey.
Responsibilities
The successful candidate will thrive in a collaborative environment, possess strong problem-solving skills, and be passionate about building reliable, scalable, and high-quality data solutions.
  • Design, build, and support scalable data pipelines and cloud-based data solutions utilizing AWS Services, Snowflake, dbt, Python, SQL, and related technologies.
  • Implement data warehouse solutions, dimensional data models, and ETL/ELT processes that support reporting, analytics, and business intelligence capabilities.
  • Implement data quality validations, test cases, and controls to ensure accurate, consistent, and reliable data assets.
  • Develop and maintain data tests, including dbt tests, to support data quality and reliability requirements.
  • Support workflow orchestration, monitoring, troubleshooting, log analysis, and production operations using Airflow and cloud-native technologies.
  • Collaborate with business users, product partners, analysts, and technology teams to deliver data solutions that support business objectives.
  • Follow established engineering standards, development practices, documentation requirements, and testing procedures to support high-quality solution delivery.
  • Participate in pipeline deployments, environment promotion activities, operational support, and performance optimization efforts using established CI/CD processes.
  • Leverage AI-powered development and productivity tools to improve engineering efficiency, code quality, and delivery outcomes.

Qualifications
Bachelor's Degree and 2 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.
OR
High School Diploma or GED and 6 years of experience in Data Engineering, Data Warehousing, Cloud Data Platforms, or related technology disciplines.
Preferred Qualifications
  • Experience working with cloud-based data platforms and modern data processing technologies such as AWS, Snowflake, Spark, or equivalent solutions.
  • Proficiency in Python and SQL with experience developing ETL/ELT processes, data pipelines, and data integration solutions.
  • Experience utilizing modern data engineering tools and frameworks such as dbt, Apache Airflow, or similar technologies.
  • Experience contributing to the delivery and support of scalable, reliable data solutions in enterprise environments.
  • Experience collaborating with business and technology stakeholders to deliver data-driven solutions.
  • Strong analytical, problem-solving, and communication skills.

Additional Qualifications are a plus
  • Experience with enterprise ETL/ELT tools such as DataStage, SAP BODS, SSIS, Informatica, or equivalent technologies.
  • Experience with Operational Data Stores (ODS), analytics platforms, and data products.
  • Experience working with cloud-based and on-premises data environments.
  • Exposure to Data Vault modeling and modern data warehousing methodologies.
  • Understanding of data governance, security, compliance, and data quality management practices.
  • Experience 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 Cloud Practitioner, AWS Certified Developer - Associate, AWS Certified Data Engineer - Associate, SnowPro Core Certification, or equivalent cloud and data platform certifications.

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Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

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