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Manager Data Architecture Jobs (NOW HIRING)

Senior Director, Data Architecture

Manhattan, NY · On-site

$74 - $99/hr

Responsibilities : • Define and execute the data architecture vision and strategic roadmap in ... metadata management, and advanced analytics infrastructure. • Promote strong data governance ...

Senior Data Architect

Clarksburg, WV · Remote

$66 - $88.25/hr

Provide subject matter expertise in enterprise data architecture, database design, and available data assets. * Monitor and maintain database health through optimization, storage management, data ...

Manages competing priorities, aligns resources, and drives initiatives from requirements through ... data platform and architecture decisions. • Migration and Change Leadership: Leads teams and ...

Senior Data Architect

Clarksburg, WV · On-site

$66 - $88.25/hr

Provide subject matter expertise in enterprise data architecture, database design, and available data assets. * Monitor and maintain database health through optimization, storage management, data ...

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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 23, 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:
Infographic showing various Manager Data Architecture job openings in the United States as of July 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $175,656 per year, or $84.5 per hour.
Vice President Data Architecture

$63 - $81.25/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

Position Description Summary The VP of Data Architecture serves as a senior leader responsible for designing, implementing, and advancing a modern, scalable, and compliant enterprise data environment for Mid Minnesota Federal Credit Union. This role blends strategic vision with hands-on technical execution to ensure data is trusted, accessible, secure, and actionable across the organization. The position establishes the multi-year data architecture roadmap, leads analytics enablement, embeds strong governance and documentation practices, and partners closely with executive leadership, IT, Risk, and business teams to support decision-making, regulatory compliance, operational efficiency, and enhanced member experience.

Fundamental Responsibilities Maintain the highest standards of Integrity, Personal Responsibility, Sense of Community, and Teamwork by self-example within and outside the credit union. Build internal trust and confidence in organizational data through accuracy, transparency, and reliability. Partner with leaders and teams to translate business needs into scalable, well-governed data solutions that drive measurable outcomes.

Key Responsibilities Data Strategy & Architecture Leadership Define and maintain a multi-year enterprise data architecture roadmap aligned with strategic goals. Establish a clear target-state architecture for data ingestion, integration, storage, modeling, analytics, and reporting. Prioritize initiatives based on business value, regulatory requirements, risk reduction, and operational efficiency.

Develop and oversee member data strategies to identify growth and engagement opportunities. Design and lead a Data Literacy program for management and staff to ensure dashboards and analytics drive actionable, data-informed decisions and a durable data-driven culture. Hands-On Technical Execution Architect and maintain data pipelines, integrations, and warehouse environments.

Design scalable data models supporting analytics, AI/ML, and regulatory reporting. Build and manage integrations across core systems and vendors. Remain actively involved in coding, testing, and deployment.

Analytics, Reporting & Decision Enablement Advance analytics maturity from descriptive to predictive insights. Enable executive, operational, and regulatory reporting with trusted data. Support governed self-service BI capabilities.

Ensure analytics answer real operational and strategic questions. Governance, Compliance & Risk Management Establish enterprise data governance standards. Ensure compliance with NCUA, FFIEC, BSA, and audit expectations.

Partner with Risk, Compliance, Audit, and IT Security teams. Support BSA/AML and other regulatory reporting with auditable data. Define governance components including data ownership and stewardship, data quality controls, metadata management, data lineage, retention policies, access controls, and monitoring and validation of reporting outputs.

Technical Documentation & Standards Maintain architecture diagrams and data dictionaries. Document ETL/ELT workflows, integrations, and runbooks. Ensure documentation supports audit readiness and onboarding.

Maintain standardized artifacts including API and integration specifications, operational support documentation, and user guides. Team Leadership & Culture Building Mentor and develop data engineering and analytics staff. Build a data-driven, documentation-driven culture.

Establish standards, expectations, and career pathways. Manage data partner and vendor relationships. Function as a trusted cross-functional partner to executive leadership, line-of-business leaders, IT, Risk, and Operations, translating technical concepts into business terms and influencing prioritization and investment decisions Job Type: Full-time Exempt Pay: $124,000 - $186,000 Expected hours: 40 per week Mid Minnesota Federal Credit Union (MMFCU) has provided a salary range that represents its good faith estimate of what the company may pay for the position at the time of posting.

The specific salary offered will be determined based on factors such as the qualifications of the selected candidate, departmental budget, internal salary equity considerations, and available market information. Benefits: Medical Dental Vision Employer paid Life insurance 401(k) Savings Plan Bonus/Incentive Program Vacation Time Earned Sick and Safe Time (aka Sick Time) Health and Wellness Program Equal Opportunity Employer