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Senior Customer Master Data Analyst Jobs in Raleigh, NC

Senior Data Architect

Raleigh, NC · On-site

$65.25 - $87.50/hr

Customer 360 architectures * Reference and master data design * Domain-driven architecture ... Partner with business domains to establish trusted and reusable analytical assets. * Design ...

Senior Data Architect

Raleigh, NC · On-site

$65.25 - $87.50/hr

Customer 360 architectures * Reference and master data design * Domain-driven architecture ... AI & Advanced Analytics Architecture * Define architectural foundations for enterprise AI ...

Senior Data Architect

Raleigh, NC · On-site

$65.25 - $87.50/hr

Customer 360 architectures * Reference and master data design * Domain-driven architecture ... AI & Advanced Analytics Architecture * Define architectural foundations for enterprise AI ...

In this role, you will have the opportunity to work closely with our customers as part of a top ... As a Data Analyst at Kyndryl, you will collaborate closely with cross-functional teams, pooling ...

Support senior analysts in conducting financial research and special projects. Required Knowledge ... Master's in in Information Technology, Data Analytics, Accounting, Business, Finance or related ...

Data Analyst Location: 221 Gregson Drive Cary, NC - 27511 Duration: 6 Months Description ... customers)

Senior Enterprise Data Analyst

Raleigh, NC · On-site

$83K - $105K/yr

This position leads Bank initiatives that improve enterprise data quality, governance, reporting, and analytics at an advanced level of ability and technical expertise. Drives positive change across ...

Data Analyst

Cary, NC · On-site

$28/hr

Data Analyst -- Contract Location: Cary, NC -- On-Site Employment Type: Contract 6 - 12 months Pay ... Create reports and communicate analytical results to management, customers, and other internal or ...

Senior Enterprise Data Analyst

Raleigh, NC · On-site

$83K - $105K/yr

This position leads Bank initiatives that improve enterprise data quality, governance, reporting, and analytics at an advanced level of ability and technical expertise. Drives positive change across ...

Senior Enterprise Data Analyst

Raleigh, NC · On-site

$83K - $105K/yr

This position leads Bank initiatives that improve enterprise data quality, governance, reporting, and analytics at an advanced level of ability and technical expertise. Drives positive change across ...

Senior Enterprise Data Analyst

Raleigh, NC · On-site

$83K - $105K/yr

This position leads Bank initiatives that improve enterprise data quality, governance, reporting, and analytics at an advanced level of ability and technical expertise. Drives positive change across ...

Data Analyst

Cary, NC · On-site

$28/hr

Data Analyst -- Contract-to-Permanent Location: Cary, NC -- On-Site Employment Type: Contract-to ... Create reports and communicate analytical results to management, customers, and other internal or ...

Showing results 21-40

Senior Customer Master Data Analyst information

See Raleigh, NC salary details

$53.5K

$96.5K

$131.7K

How much do senior customer master data analyst jobs pay per year?

As of Aug 22, 2026, the average yearly pay for senior customer master data analyst in Raleigh, NC is $96,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,600.00 and $105,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Customer Master Data Analyst vs Customer Data Analyst?

AspectSenior Customer Master Data AnalystCustomer Data Analyst
CredentialsBachelor's degree, experience in data management, possibly certifications like CDMPBachelor's degree, entry-level to mid-level experience in data analysis
Work EnvironmentCorporate, finance, or CRM teams within large organizationsMarketing, sales, or customer service departments
Employer & Industry UsageUsed in industries with large customer databases like retail, finance, and healthcareCommon in marketing and sales sectors for customer insights

The Senior Customer Master Data Analyst typically handles complex data management tasks, ensuring data accuracy and integrity at a higher level, often with more experience and certifications. Customer Data Analysts focus on analyzing customer data for insights, often at an entry to mid-level. Both roles are essential in customer-centric industries but differ mainly in scope and seniority.

What are popular job titles related to Senior Customer Master Data Analyst jobs in Raleigh, NC?

For Senior Customer Master Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Senior Customer Master Data Analyst jobs in Raleigh, NC look for?

The top searched job categories for Senior Customer Master Data Analyst jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Senior Customer Master Data Analyst jobs?

Cities near Raleigh, NC with the most Senior Customer Master Data Analyst job openings:

Infographic showing various Senior Customer Master Data Analyst job openings in Raleigh, NC as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $96,460 per year, or $46.4 per hour.

Senior Data Architect

First Citizens Bank

Raleigh, NC • On-site

$65.25 - $87.50/hr

Full-time

Posted 15 days 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
The Senior Data Architect is a senior technical leader within Enterprise Data & Analytics (ED&A) responsible for defining, designing, and implementing enterprise-scale data architectures that enable trusted, governed, and business-ready data across the organization.
This role requires deep hands-on expertise across transactional systems (OLTP), analytical platforms (OLAP), modern cloud data platforms, data integration, and enterprise data modeling. The Senior Data Architect is expected to operate from strategy through implementation, partnering with engineering teams to design scalable solutions while actively participating in architecture reviews, complex data modeling, performance optimization, data product design, and platform modernization initiatives.
The ideal candidate brings extensive experience designing and implementing modern data ecosystems leveraging AWS, Snowflake, Data Vault 2.0, DBT, API-based integration patterns, event-driven architectures, metadata management, and AI-ready data foundations.
Responsibilities
Enterprise Data Architecture & Design
  • Define and evolve enterprise data architecture standards, patterns, and reference architectures.
  • Develop target-state architectures supporting ED&A strategic objectives and Nexus platform evolution.
  • Lead architecture design across operational, analytical, reporting, regulatory, and AI use cases.
  • Drive consistency across data acquisition, storage, transformation, governance, and consumption layers.
  • Establish architecture guardrails balancing agility, scalability, maintainability, and regulatory compliance.

Modern Data Platform Architecture
Serve as a senior technical architect responsible for end-to-end design of the Nexus ecosystem including:
Data Ingestion Layer
  • Qlik Replicate and CDC patterns
  • Event-driven ingestion architectures
  • API-driven integrations
  • Batch and near real-time ingestion frameworks
  • External and third-party data integration

Data Storage & Processing Layers
  • AWS S3 data lake architecture
  • Landing and ingestion zones
  • Snowflake data platform architecture
  • Raw Data Vault implementation
  • Business Data Vault design
  • Consumption and semantic layers
  • Data sharing and data product architectures

Transformation & Orchestration
  • DBT architecture and modeling standards
  • ELT pipeline design
  • Reusable transformation frameworks
  • Astronomer (Airflow) orchestration patterns
  • Workflow dependency management
  • Data observability and monitoring

Operational Analytics
  • API-enabled data products
  • Fargate-based services
  • Near real-time analytics solutions
  • Event streaming architectures
  • Operational reporting architectures

Enterprise Data Modeling Leadership
Provide deep expertise across multiple modeling disciplines:
OLTP Modeling
  • Third Normal Form (3NF)
  • Operational application schemas
  • Transaction processing systems
  • Customer, account, loan, and transaction data structures
  • Source system integration patterns

Analytical Modeling (OLAP)
  • Star schemas
  • Snowflake schemas
  • Fact and dimension design
  • Aggregate layer strategies
  • Semantic modeling

Data Vault 2.0
  • Hubs
  • Links
  • Satellites
  • Business Vault design
  • Point-in-time structures
  • Bridge tables
  • Auditability and lineage patterns

Information Architecture
  • Enterprise canonical models
  • Business capability mapping
  • Customer 360 architectures
  • Reference and master data design
  • Domain-driven architecture
  • Architects in this role are expected to actively review and contribute to data models rather than simply approve designs.

Data Products & Domain Architecture
  • Drive adoption of data product thinking across ED&A.
  • Define standards for ownership, accountability, quality, discoverability, and reuse.
  • Partner with business domains to establish trusted and reusable analytical assets.
  • Design scalable domain-oriented architectures supporting Data Mesh principles where appropriate.
  • Enable self-service consumption through governed data products.

Data Governance by Design
Partner closely with Governance teams to embed controls directly within architectural designs.
Responsibilities include:
  • Metadata architecture
  • Business glossary alignment
  • Technical and business lineage
  • Data quality architecture
  • Data contract implementation
  • Sensitive data classification
  • Policy-based access control
  • Data retention and auditability
  • Leverage Collibra, BigID, and platform-native capabilities to improve trust and transparency across enterprise data assets.

Performance Optimization & Engineering Excellence
Actively troubleshoot and improve platform performance by:
  • Reviewing Snowflake query performance
  • Optimizing warehouse utilization and workload management
  • Designing scalable partitioning and clustering strategies
  • Improving ELT processing efficiency
  • Reducing data movement and duplication
  • Enhancing pipeline scalability and resiliency
  • Ensuring efficient storage and compute utilization
  • Expected to participate in technical deep-dives and solution reviews with engineering teams.

AI & Advanced Analytics Architecture
  • Define architectural foundations for enterprise AI initiatives.
  • Design AI-ready data products and curated consumption layers.
  • Support feature engineering and model-serving architectures.
  • Enable trusted, explainable, and governed AI data pipelines.
  • Partner with Data Science teams to ensure scalability of predictive and generative AI solutions.
  • Architect retrieval, metadata, and knowledge-layer capabilities supporting future GenAI initiatives.

Technical Leadership
  • Lead architecture reviews across strategic initiatives and programs.
  • Influence technical direction across engineering, analytics, governance, and business teams.
  • Mentor engineers, architects, and modelers on modern architecture principles.
  • Establish engineering standards, design patterns, and reusable frameworks.
  • Provide thought leadership on emerging technologies and industry best practices.
  • Serve as the escalation point for complex architecture and modeling challenges.

Qualifications
Bachelor's Degree and 6 years of experience in Enterprise data architecture, advanced data solutions, cloud platforms OR High School Diploma or GED and 10 years of experience in Enterprise data architecture, advanced data solutions, cloud platforms
Preferred Qualifications
  • Financial Services or Banking industry experience.
  • Experience modernizing legacy data warehouse environments.
  • Experience architecting large-scale Customer 360 solutions.
  • Experience supporting regulatory and risk reporting ecosystems.
  • Knowledge of Data Mesh and Data Product operating models.
  • TOGAF, CDMP, SnowPro, AWS, or equivalent certifications.

Experience
  • 12+ years of experience in Data Engineering, Data Architecture, Information Management, or Analytics Engineering.
  • 5+ years serving as a lead architect for enterprise-scale data platforms.
  • Proven experience designing and implementing modern cloud data platforms.
  • Demonstrated experience leading large-scale data modernization programs.
  • Experience working directly with engineering teams on implementation, optimization, and troubleshooting.

Modern Data Platforms
  • Snowflake
  • AWS Data Services
  • Amazon S3
  • Data Lake and Lakehouse architectures
  • Cloud-native data ecosystems

Data Engineering
  • ELT/ETL architectures
  • Data integration patterns
  • Change Data Capture (CDC)
  • Event-driven architectures
  • API-based integration
  • Data orchestration frameworks

Nexus Core Technologies
  • Snowflake
  • DBT
  • Qlik Replicate
  • Astronomer / Apache Airflow
  • AWS
  • Data Vault 2.0
  • Collibra
  • BigID

Data Modeling
  • Conceptual, Logical and Physical Data Modeling
  • Data Vault 2.0
  • Dimensional Modeling
  • Canonical Modeling
  • Master Data Management
  • Reference Data Management

Data Management
  • Data Governance
  • Data Quality
  • Data Lineage
  • Metadata Management
  • Data Cataloging
  • Data Contracts

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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