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Manager Data Architecture Jobs (NOW HIRING)

Caterpillar Inc.

Senior Manager, Data Architecture

Irving, TX · On-site

$62.50 - $83.50/hr

The Senior Manager, Data Architecture will lead the organization responsible for creating the data foundation for Physical AI and autonomy, defining data architecture and capabilities to transform ...

Circle K

Senior Manager Data Architecture

Phoenix, AZ · On-site

$66.75 - $89.25/hr

Sr. Manager, Data Architecture Circle K is a global leader in convenience and fuel, operating in 24 countries and part of the Alimentation Couche-Tard family. We are driving a massive digital ...

Circle K

Senior Manager Data Architecture

Tempe, AZ · On-site

$64.50 - $86.25/hr

Sr. Manager, Data Architecture About Circle K Circle K is a global leader in convenience and fuel, operating in 24 countries and part of the Alimentation Couche-Tard family. We are driving a massive ...

Circle K

Senior Manager Data Architecture

Columbus, IN

$62.50 - $83.75/hr

Sr. Manager, Data Architecture About Circle K Circle K is a global leader in convenience and fuel, operating in 24 countries and part of the Alimentation Couche-Tard family. We are driving a massive ...

Circle K

Senior Manager Data Architecture

Charlotte, NC · On-site

$65.75 - $88/hr

Sr. Manager, Data Architecture About Circle K Circle K is a global leader in convenience and fuel, operating in 24 countries and part of the Alimentation Couche-Tard family. We are driving a massive ...

Caterpillar

Senior Manager, Data Architecture

Irving, TX · On-site

$64.50 - $86.50/hr

The Senior Manager, Data Architecture leads the organization responsible for building the data foundation that enables Physical AI, autonomy, digital twins, and next-generation intelligent systems.

Quantix

Data Architecture Manager

Englewood, CO · On-site

Data Architecture Manager Location: Englewood, CO (80112) OR Atlanta, GA (30339) Type: Direct Hire Company located in Englewood, CO has an immediate need for Data Architecture Manager for a direct ...

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Manager Data Architecture information

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$115K

$175.7K

$261.5K

How much do manager data architecture jobs pay per year?

As of Jul 2, 2026, the average yearly pay for manager data architecture in the United States is $175,656.00, according to ZipRecruiter salary data. Most workers in this role earn between $163,000.00 and $181,500.00 per year, depending on experience, location, and employer.

What is the salary of data architecture manager?

The salary of a Data Architecture Manager typically ranges from $110,000 to $160,000 annually, depending on experience, location, and company size. In large consulting firms like Accenture, salaries may also include bonuses and benefits aligned with industry standards for senior data management roles.

How much does a data architect get paid?

Data architects typically earn a salary ranging from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data modeling can command higher compensation, often exceeding $160,000 per year.

How much money do data architects make?

Data architects typically earn a median annual salary of around $100,000 to $150,000, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data modeling can earn higher salaries, often exceeding $160,000 annually.

What are the key skills and qualifications needed to thrive as a Manager Data Architecture, and why are they important?

To thrive as a Manager Data Architecture, you need deep expertise in data modeling, database management, and enterprise data strategy, typically backed by a degree in computer science or a related field. Proficiency with tools like SQL, data warehousing platforms (e.g., Snowflake, Redshift), and frameworks such as TOGAF, along with relevant certifications, is often required. Strong leadership, communication, and problem-solving skills help drive cross-functional collaboration and guide data architecture teams. These competencies are critical for ensuring scalable, secure, and efficient data solutions that support business goals.

What are some common challenges faced by a Manager Data Architecture, and how can they be effectively addressed?

A Manager Data Architecture often faces challenges like integrating data from disparate sources, ensuring data quality, and aligning data strategies with evolving business goals. Addressing these issues typically involves collaborating closely with IT, business stakeholders, and data governance teams to create robust data models and clear documentation. Proactively staying updated on emerging technologies and industry best practices also helps in anticipating potential roadblocks and implementing scalable, future-proof solutions.

What is the role of a data architect manager?

A data architect manager oversees the design, development, and implementation of an organization’s data architecture, ensuring data systems support business needs. They lead teams of data architects, establish data standards, and collaborate with stakeholders to optimize data flow, quality, and security using tools like data modeling and database management systems.

What does a Manager Data Architecture do?

A Manager Data Architecture oversees the design, implementation, and maintenance of an organization's data systems and structures. They ensure data is stored, managed, and accessed efficiently and securely, aligning data solutions with business needs. This role involves leading a team of data architects, collaborating with IT and business stakeholders, and setting data governance standards. They are critical in enabling data-driven decision making and supporting digital transformation initiatives within an organization.

What is the difference between Manager Data Architecture vs Data Engineer?

AspectManager Data ArchitectureData Engineer
CredentialsBachelor's or Master's in Computer Science, Data Management, or related fields; often certifications in data architecture or cloud platformsBachelor's in Computer Science, Software Engineering, or related; certifications in data engineering or cloud services are common
Work EnvironmentOversees data teams, designs data systems, collaborates with stakeholders, and manages data architecture projectsBuilds, develops, and maintains data pipelines, works with large datasets, and implements data solutions
Employer & Industry UsageUsed in organizations with complex data needs, including finance, healthcare, and tech companiesCommon in tech firms, startups, and any company with data infrastructure needs

The main difference is that a Manager Data Architecture focuses on designing and overseeing data systems and strategies, while a Data Engineer primarily builds and maintains the data pipelines and infrastructure. Both roles require strong technical skills, but the manager role emphasizes leadership and strategic planning.

More about Manager Data Architecture jobs
What cities are hiring for Manager Data Architecture jobs? Cities with the most Manager Data Architecture job openings:
What are the most commonly searched types of Data Architecture jobs? The most popular types of Data Architecture jobs are:
What states have the most Manager Data Architecture jobs? States with the most job openings for Manager Data Architecture jobs include:
What job categories do people searching Manager Data Architecture jobs look for? The top searched job categories for Manager Data Architecture jobs are:
Manager Data Architecture jobs near you
Infographic showing various Manager Data Architecture job openings in the United States as of June 2026, with employment types broken down into 4% As Needed, 48% Full Time, 44% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $175,656 per year, or $84.5 per hour.
Manager Data Architecture

Manager Data Architecture

Norwegian Cruise Line Holdings Ltd.

Miami, FL • On-site

Full-time

Posted 6 days ago

Job description

Job Summary:
Norwegian Cruise Line Holdings Ltd. is a leading global cruise company that operates several well-known brands. The Manager, Data Architecture is responsible for leading the design and governance of the enterprise data architecture strategy, overseeing data engineering teams, and ensuring that data systems are scalable and aligned with enterprise governance.
Responsibilities:
• Define and govern enterprise-wide data architecture standards, patterns, and best practices across cloud platforms.
• Lead architectural decisions across Snowflake, ELT/dbt frameworks, CI/CD pipelines, observability tooling, and security models.
• Ensure architectural consistency across ingestion, transformation, semantic, and consumption layers.
• Establish scalable domain-driven data product patterns that promote ownership, reuse, and SLA-based delivery.
• Drive logical and physical data modeling standards (dimensional, data vault, semantic layer design).
• Partner with business and analytics teams to ensure architectures support self-service analytics and enterprise reporting needs.
• Ensure data platforms are architected to support AI/ML workloads, including structured and unstructured data integration.
• Enable LLM-ready architectures, metadata enrichment, vectorization strategies, and real-time/event-driven use cases.
• Support Data Science and advanced analytics initiatives through optimized pipeline and storage design.
• Embed data quality frameworks, automated testing, observability, lineage, and monitoring into architecture standards.
• Ensure compliance with enterprise governance, security, privacy, and regulatory requirements (e.g., SOX, PCI where applicable).
• Partner with DataOps and DevOps to operationalize governance and CI/CD controls.
• Lead, mentor, and develop data architects and senior data engineers.
• Establish architectural review processes and technical design governance forums.
• Promote a culture of engineering excellence, automation, and continuous improvement.
• Partner with external vendors and consulting partners to align implementations with enterprise architecture standards.
• Collaborate cross-functionally with Engineering, Martech, Data Science, DevOps, Security, and Product teams.
• Serve as the primary escalation point for complex architectural decisions.
• Contribute to long-term roadmap planning for platform scalability, modernization, and cost optimization.
• Evaluate emerging technologies and assess adoption value within the enterprise ecosystem.
• Drive modernization of legacy platforms where strategically appropriate.
• Perform other job-related functions as assigned.
Qualifications:
Required:
• Bachelor's Degree in Business Management, Computer Science, Industrial Engineering, or a related field; or an equivalent combination of relevant work experience and education.
• 8–12+ years of progressive experience in data architecture, data engineering, or enterprise data platform leadership roles.
• Proven experience designing and governing cloud-native data platforms (e.g., Snowflake, dbt, modern ELT architectures).
• Experience leading technical teams and managing architectural standards in Agile product environments.
• Strong expertise in advanced data modeling techniques and enterprise data product design.
• Experience implementing CI/CD, DevOps/DataOps practices, and observability within data ecosystems.
• Experience enabling AI/ML and advanced analytics workloads, including real-time or event-driven architectures.
• Demonstrated experience in modernizing legacy data systems and guiding large-scale architectural transitions.
• Deep understanding of modern data architecture principles, cloud ecosystems, and distributed data platforms.
• Strong leadership and coaching capabilities with ability to influence across technical and business teams.
• Advanced proficiency in SQL and working knowledge of Python or similar languages for automation and extensibility.
• Strong understanding of data governance, metadata management, lineage, and quality frameworks.
• Experience architecting secure, scalable, and cost-optimized cloud solutions.
• Excellent analytical, communication, and executive presentation skills.
• Ability to balance innovation with operational stability and enterprise standards.
Preferred:
• Cloud data platform certifications (e.g., Snowflake, AWS, Azure, or GCP) preferred.
• dbt, data engineering, or analytics engineering certifications are a plus.
• AI/ML or data governance certifications (e.g., DAMA/CDMP, SnowPro Advanced) are desirable but not required.
Company:
Norwegian Cruise Line Holdings Ltd. Founded in 1966, the company is headquartered in Miami, USA, with a team of 10001+ employees. The company is currently Late Stage.

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