1

Data Integration Manager Jobs in Arizona (NOW HIRING)

Senior Data Architect

Phoenix, AZ · On-site

$66.75 - $89.25/hr

... integration patterns, event-driven architectures, metadata management, and AI-ready data foundations. Responsibilities Enterprise Data Architecture & Design * Define and evolve enterprise data ...

Senior Data Architect

Phoenix, AZ · On-site

$66.75 - $89.25/hr

... integration patterns, event-driven architectures, metadata management, and AI-ready data foundations. Responsibilities Enterprise Data Architecture & Design * Define and evolve enterprise data ...

Data Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

Experience working with enterprise systems such as ERP, CRM, financial, operational, or supply chain platforms preferred. Experience supporting data migration, system integration, or enterprise ...

Senior Data Architect

Tucson, AZ · On-site

$62.50 - $83.75/hr

Knowledge of data integration techniques, data cleansing, and Master Data Management (MDM) solutions to maintain a single source of truth across systems. Experience establishing data standards ...

The Data Quality Manager is key in proactively ensuring that data quality is maintained across the ... Lead the technical implementation of DQ checks, ensuring they are robust, scalable, and integrated ...

Requirements * 3 years of experience with data integration, EDI transactions, or platform operations * 3 years of project management experience * 2 years of experience with demonstrated leadership ...

Snowflake, Databricks, BigQuery, Teradata) * ETL/ELT tools and data integration patterns within ... Manage day-to-day stakeholder relationships and align technical delivery to business and program ...

New

Data Engineer Manager

Globe, AZ · On-site

$108K - $130K/yr

This role ensures the integration, storage, and cleansing of data to support the organization's data strategy. The Data Engineering Manager drives compliance with data governance standards and best ...

Position Overview We are looking for Data Analysts to support data migration and integration ... Ability to manage multiple priorities and work in a collaborative team environment * Strong ...

Position Overview We are looking for Data Analysts to support data migration and integration ... Ability to manage multiple priorities and work in a collaborative team environment * Strong ...

Snowflake Data Modeler

Snowflake, AZ · On-site

$90 - $120/hr

Knowledge of cloud platforms (AWS/Azure/GCP) and their integration with Snowflake. * Familiarity with data governance, metadata management, and data quality frameworks. * Strong analytical ...

Senior Data Architect

Tucson, AZ · On-site

$62.50 - $83.50/hr

... Project Managers and Project Accountants, focusing on enhancing and integrating applications with a strong emphasis on Oracle E-Business Suite and potential cloud services integration.

... Integration & ETL, AI/ML Fundamentals The Role As a Data Analyst / Data Management & Governance Professional with Emerging AI Experience, you will play a key role in analyzing, managing, and ...

Strong understanding of SAP and non-SAP data integration architectures. * Excellent analytical, communication, and stakeholder management skills.

Data Analyst

Phoenix, AZ · On-site

$100K - $110K/yr

... Integration & ETL, AI/ML Fundamentals The Role As a Data Analyst / Data Management & Governance Professional with Emerging AI Experience, you will play a key role in analyzing, managing, and ...

Showing results 41-60

Data Integration Manager information

See Arizona salary details

$9

$48

$78

How much do data integration manager jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data integration manager in Arizona is $48.16, according to ZipRecruiter salary data. Most workers in this role earn between $40.53 and $54.23 per hour, depending on experience, location, and employer.

What are some common challenges a data integration manager faces when coordinating cross-departmental projects?

Data Integration Managers often encounter challenges such as aligning different departments' data standards, managing conflicting priorities, and ensuring data security across systems. Effective communication and strong project management skills are essential for navigating these complexities. Building collaborative relationships and setting clear expectations early in the project can help streamline data flows and minimize bottlenecks.

What are the key skills and qualifications needed to thrive as a data integration manager, and why are they important?

To thrive as a Data Integration Manager, you need expertise in data management, ETL processes, and a strong understanding of database systems, often supported by a degree in computer science or a related field. Familiarity with integration tools like Informatica, Talend, or Microsoft SSIS, as well as experience with cloud platforms and relevant certifications, is typically required. Strong leadership, problem-solving skills, and effective communication help manage cross-functional teams and stakeholder expectations. These skills ensure seamless data flow, system reliability, and successful project delivery in complex data environments.

What is the difference between Data Integration Manager vs Data Analyst?

AspectData Integration ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications in data management or integration toolsBachelor's degree in Statistics, Mathematics, or related field; certifications in data analysis or visualization tools
Work EnvironmentCollaborates with IT teams, data engineers, and business units to oversee data integration processesWorks with business stakeholders to analyze data, generate reports, and support decision-making
Employer & Industry UsageCommon in tech, finance, healthcare, and large enterprises managing complex data systemsWidely used across industries for data-driven roles focusing on insights and reporting

While both roles involve working with data, the Data Integration Manager focuses on overseeing the integration and management of data systems, ensuring data flows correctly across platforms. In contrast, the Data Analyst primarily interprets data to generate insights and support business decisions. Both roles require strong technical skills, but their core responsibilities and focus areas differ significantly.

What is a data integration manager?

A data integration manager oversees the process of combining data from different sources into a unified system, ensuring data quality and consistency. They often work with tools like ETL (Extract, Transform, Load) processes and require strong project management and technical skills. Their role involves coordinating teams, managing data workflows, and implementing integration solutions to support business analytics and decision-making.

What are the most commonly searched types of Data Integration jobs in Arizona?

The most popular types of Data Integration jobs in Arizona are:

What are popular job titles related to Data Integration Manager jobs in Arizona?

For Data Integration Manager jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Data Integration Manager jobs in Arizona look for?

The top searched job categories for Data Integration Manager jobs in Arizona are:

What cities in Arizona are hiring for Data Integration Manager jobs?

Cities in Arizona with the most Data Integration Manager job openings:

Infographic showing various Data Integration Manager job openings in Arizona as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $100,179 per year, or $48.2 per hour.

Senior Data Architect

First Citizens Bank

Phoenix, AZ • On-site

$66.75 - $89.25/hr

Full-time

Posted 14 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.

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.

Education:UNAVAILABLEEmployment Type: FULL_TIME

What First Citizens Bank employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom