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Full Time Ibm Data Engineer Jobs in Raleigh, NC (NOW HIRING)

Senior Quality Engineer

Raleigh, NC · Remote

$91K - $163K/yr

Build reusable data quality automation components, libraries, and frameworks that can be ... The salary for this role will range from $91,700 to $163,700 annually based on full-time employment.

Senior Quality Engineer

Raleigh, NC · On-site

$91K - $163K/yr

Build reusable data quality automation components, libraries, and frameworks that can be ... The salary for this role will range from $91,700 to $163,700 annually based on full-time employment.

EDA Workflow Optimization Engineer

Durham, NC · Hybrid

$107K - $127K/yr

Experience in applying data analysis principles and influencing data-driven decisions ... Experience with job schedulers (in particular IBM Spectrum LSF and/or SLURM). * Hands-on experience ...

*THIS IS NOT A DATA ENGINEERING RELATED POSITION* Position Description: Your responsibilities as a ... full-time positions offer competitive compensation and benefits which include: 24 days PTO and 5 ...

Across every role, we harness data and AI to work smarter, move faster and create breakthrough ... Work Schedule This is a full time, exempt (salaried) position assigned to a First Shift schedule ...

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Full Time Ibm Data Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do full time ibm data engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for full time ibm data engineer in Raleigh, NC is $126,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Ibm Data Engineer vs Data Analyst?

AspectFull Time Ibm Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certifications, IBM-specific trainingBachelor's in Statistics, Data Analysis, or related field; certifications like Microsoft Data Analyst
Work EnvironmentData engineering teams, cloud platforms, enterprise IT environmentsBusiness units, reporting tools, data visualization platforms
Employer & Industry UsageTech companies, finance, healthcare using IBM technologiesRetail, marketing, finance across various industries

Full Time IBM Data Engineers focus on building and maintaining data pipelines, working with large-scale data systems, and implementing data architecture using IBM tools. Data Analysts interpret data, create reports, and support decision-making. While both roles work with data, Data Engineers handle infrastructure, whereas Data Analysts focus on insights and visualization.

What are some common challenges faced by full-time IBM Data Engineers, and how can they be addressed?

Full-time IBM Data Engineers often encounter challenges such as integrating data from diverse sources, ensuring data quality, and optimizing data pipelines for performance. Working with large-scale enterprise systems requires familiarity with IBM's data platforms and cloud services, as well as strong problem-solving skills. Collaborating closely with data scientists, analysts, and other engineers is essential for aligning data solutions with business needs. Staying current with IBM's evolving technologies and participating in ongoing training can help address these challenges effectively.

What are the key skills and qualifications needed to thrive as a Full Time IBM Data Engineer, and why are they important?

To thrive as a Full Time IBM Data Engineer, you need strong skills in data modeling, SQL, programming languages like Python or Scala, and a relevant degree in computer science or engineering. Familiarity with IBM data platforms (such as IBM Db2, IBM Cloud Pak for Data, or IBM DataStage), big data frameworks, and certifications like IBM Certified Data Engineer are often required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with cross-functional teams and translating business needs into technical solutions. These competencies enable data engineers to design robust data pipelines, ensure data quality, and drive informed decision-making within organizations.

What does a Full Time IBM Data Engineer do?

A Full Time IBM Data Engineer is responsible for designing, building, and maintaining data pipelines and architectures to support large-scale data processing within organizations using IBM technologies. They work with data integration, transformation, and storage solutions, ensuring data is accessible, reliable, and secure for analytics and business intelligence. Their role often includes collaborating with data scientists, analysts, and other IT professionals to optimize data workflows and implement best practices for data management.
What are the most commonly searched types of Ibm Data Engineer jobs in Raleigh, NC? The most popular types of Ibm Data Engineer jobs in Raleigh, NC are:
What are popular job titles related to Full Time Ibm Data Engineer jobs in Raleigh, NC? For Full Time Ibm Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Full Time Ibm Data Engineer jobs in Raleigh, NC look for? The top searched job categories for Full Time Ibm Data Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Full Time Ibm Data Engineer jobs? Cities near Raleigh, NC with the most Full Time Ibm Data Engineer job openings:
Infographic showing various Full Time Ibm Data Engineer job openings in Raleigh, NC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.
Senior MDM Product Analyst - Informatica 360, Integration & Architecture

Senior MDM Product Analyst - Informatica 360, Integration & Architecture

First Citizens Bank

Raleigh, NC • On-site

Full-time

Re-posted 22 days ago


First Citizens Bank rating

7.5

Company rating: 7.5 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

92nd of 149 rated banks


Job description

Overview
The Senior MDM Product Analyst - Informatica 360 is responsible for driving the architecture, design, and delivery of enterprise-scale Master Data Management (MDM) solutions across the organization. This role provides strategic leadership for MDM platforms, focusing on end-to-end data architecture, scalable integrations, and real-time data enablement.
The candidate will lead the implementation of Informatica Customer 360 and Reference 360, ensuring seamless data flow from source systems to downstream consumers. This role requires deep expertise in API-driven and event-driven architectures, data pipeline engineering (batch and real-time), and enterprise integration patterns-enabling a governed, unified, and high-quality customer data ecosystem across banking platforms
Responsibilities
MDM Architecture
  • Define and lead enterprise MDM architecture and integration strategy in collaboration with the Technology team.
  • Provide requirements and review design of scalable architectures for Customer 360 and Reference 360 implementations.
  • Establish rules and standards for data modeling, mastering, survivorship, and golden record creation.
  • Align MDM architecture with enterprise data, cloud, and digital transformation strategies.

Platform Development - Informatica 360
  • Review development and configuration of Informatica Customer 360 and Reference 360, including:
  • Match & merge rules (deterministic and probabilistic)
  • Survivorship rules
  • Hierarchies and relationship models
  • Optimize performance, scalability, and maintainability of the MDM platform.

Data Modeling & Quality
  • Design or review logical and physical data models for MDM domains (Customer, Party, Reference Data).
  • Implement and enforce data quality and validation rules.
  • Ensure high standards of data accuracy, consistency, and completeness.

Integration & Data Engineering - API & Event-Driven Enablement
  • Review design and implementation of end-to-end data pipelines from source systems through MDM to downstream consumption layers.
  • Create or review requirements for batch and real-time data ingestion frameworks, extraction, transformation, and publishing pipelines.
  • Integrate MDM with key enterprise systems, including Core Banking, CIS, Fraud, Compliance, and Digital platforms.
  • Review API-first MDM access patterns and real-time data exchange using event-driven architectures (Kafka, messaging frameworks).
  • Ensure MDM data is accessible for operational systems, analytics, and digital channels.
  • Design and review data services and microservices for MDM consumption.

Collaboration & Technical Leadership
  • Act as product leader and mentor for development teams.
  • Collaborate with Business Analysts, Data Engineers, Data Governance teams, and Architects.
  • Drive design reviews and architectural governance.
  • Translate complex technical concepts into clear guidance for business and technical stakeholders.

Testing, Deployment & Validation
  • Define and implement testing strategies covering unit, integration, UAT, and performance testing.
  • Validate data ingestion and transformation, match & merge outcomes, and data synchronization across systems.
  • Support release management and production deployments.

Performance & Optimization
  • Monitor and optimize data pipelines, API performance, and MDM platform scalability in collaboration with Technical Leads and Operations.
  • Troubleshoot complex data and integration issues across systems.

Qualifications
Bachelor's Degree and 6 years of experience in Data Management, Data Analytics OR High School Diploma or GED and 10 years of experience in Data Management, Data Analytics
Core MDM Expertise
  • 12+ years of experience in data engineering, MDM development, or integration architecture.
  • Experience working in Agile methodology, including writing user stories and test cases using Jira.
  • Deep expertise in Customer/Party MDM (Individual & Non-Individual), golden record management, and match & merge frameworks.
  • Strong background in the Finance/Banking domain.

Platforms & Tools
  • Strong hands-on experience with Informatica Customer 360 & Reference 360 (mandatory; SaaS preferred).
  • Familiarity with other MDM tools such as Reltio, IBM MDM (preferred).
  • Strong proficiency in SQL and data integration tools (Informatica, ETL frameworks).
  • Experience with API development (REST, GraphQL) and messaging/event platforms (Kafka, MQ, etc.).
  • Experience building controls on data environments.

Data & Architecture
  • Strong understanding of data modeling (logical & physical), data integration patterns, data governance, and data lineage.
  • Proven experience designing real-time and batch data architectures.

Cloud & Data Platforms
  • Experience with Snowflake or other cloud data platforms (preferred).
  • Exposure to Azure, AWS, or hybrid cloud architecture.

Domain Knowledge
  • Experience in banking or financial services, including familiarity with Core Banking, Customer Information Systems, and Fraud/Risk/Compliance (KYC preferred).

Leadership & Soft Skills
  • Strong technical leadership and mentoring ability.
  • Excellent communication and stakeholder engagement skills.
  • Ability to lead enterprise-scale initiatives independently.

PREFERRED QUALIFICATIONS
  • Experience in large-scale enterprise data transformation programs.
  • Knowledge of microservices architecture and domain-driven design.
  • Exposure to DevOps, CI/CD pipelines, and automation frameworks.

KEY DELIVERABLES
MDM architecture and integration designs
End-to-end data pipeline frameworks
API and event-driven data services
Informatica 360 platform configurations and implementations
Data models and integration mappings
Performance optimization and monitoring frameworks
#LI-XG1
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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