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$11K

$145.8K

$166K

How much do director data architecture jobs pay per year?

As of Jul 28, 2026, the average yearly pay for director data architecture in the United States is $145,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $141,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Director of Data Architecture, you need deep expertise in data modeling, database management, and enterprise architecture, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), data integration tools, and certifications like CDMP or TOGAF is highly beneficial. Strong leadership, strategic thinking, and stakeholder communication skills set top performers apart in this role. These capabilities are critical to designing scalable data solutions, aligning data strategies with business goals, and driving organizational data maturity.

What are the 4 pillars of data architecture?

The four pillars of data architecture are data storage, data integration, data modeling, and data governance. For a Director of Data Architecture, understanding these pillars helps in designing scalable and reliable data systems, ensuring data quality, security, and compliance across the organization.

How much does a VP of data architecture make?

A Vice President of Data Architecture typically earns between $150,000 and $250,000 annually, depending on experience, industry, and company size. Compensation may also include bonuses, stock options, and other benefits, reflecting senior leadership responsibilities in data strategy and infrastructure.

What does a Director of Data Architecture do?

A Director of Data Architecture is responsible for overseeing the design, development, and management of an organization's data systems and strategies. They ensure that data is organized, accessible, and secure to support business goals and analytics. This role involves collaborating with other IT leaders, setting data standards, and guiding teams in implementing best practices for data management. Directors of Data Architecture play a key role in shaping how data is collected, stored, integrated, and utilized across the company.

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

AspectDirector Data ArchitectureData Engineer
CredentialsBachelor's/Master's in Computer Science, Data Management, or related fields; often requires leadership experienceBachelor's or higher in Computer Science, Software Engineering, or related fields; certifications like AWS or Google Cloud are common
Work EnvironmentStrategic planning, overseeing data architecture teams, collaborating with executivesBuilding, maintaining, and optimizing data pipelines and infrastructure
Employer & Industry UsageUsed in large organizations across finance, healthcare, tech, and retailCommon in tech companies, data-driven startups, and enterprises with big data needs

The main difference is that the Director Data Architecture focuses on high-level data strategy and architecture oversight, while a Data Engineer handles the technical implementation and maintenance of data systems. Both roles are essential but operate at different levels within data teams.

How much does a data architect get paid?

Data architects typically earn between $100,000 and $160,000 annually, depending on experience, location, and industry. Senior roles with advanced skills in data modeling, cloud platforms, and database management can command higher salaries, especially with certifications like TOGAF or AWS Certified Data Analytics.

What are the main challenges faced by a Director of Data Architecture when implementing data governance across a large organization?

A Director of Data Architecture often encounters challenges in aligning diverse business units with standardized data governance policies, especially in organizations with legacy systems and siloed data. Ensuring stakeholder buy-in, balancing regulatory compliance with business agility, and managing the integration of new technologies are common hurdles. Successful directors foster cross-functional collaboration, clearly communicate the value of data governance, and implement scalable frameworks to support both current and future data needs.

How much money do data architects make?

Data architects typically earn a median annual salary between $100,000 and $150,000, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and data modeling can earn higher compensation, often exceeding $160,000 annually.
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Director Data Architecture jobs near you
Infographic showing various Director 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 $145,769 per year, or $70.1 per hour.
Director, Data Architecture & Engineering- Hybrid-Genesco

Director, Data Architecture & Engineering- Hybrid-Genesco

Genesco

Nashville, TN • On-site

Full-time

Posted 5 days ago

Genesco rating

5.4

Company rating: 5.4 out of 10

Based on 32 frontline employees who took The Breakroom Quiz

74th of 104 rated fashion retailers

Job description

Job Summary
The IT Director, Data Architecture & Engineering, leverages their experience to drive strategy and execution for the necessary data transfer, transformation and storage in support of Genesco's business processes. This role will play a pivotal role in shaping the future of our data capabilities. They will drive innovation across our Data platforms and pathways with a focus on solving complex problems, embracing modern technologies, and delivering high-quality, trusted solutions. This role will provide thought leadership but also be a hands-on role leading a team of talented engineers and architects, fostering a culture of excellence and driving the development of cutting-edge platforms that empower our business and customers.
Job Responsibilities
  • Provide strategic vision and technical leadership for both the Data Platform and transformation processes.
  • Collaborate with systems engineering, product, and business leaders to align platform development with business objectives.
  • Drive the adoption of best practices in data engineering, and software development.
  • Lead the development and evolution of our next-generation, storage mechanisms for our large data sets (Data Lake, Data Warehouse or Operational Data Store), enabling seamless data ingestion, processing, and analysis.
  • Architect and implement scalable data pipelines, optimizing for latency, cost, and throughput.
  • Define and enforce data management practices, including data modeling, ETL, and data warehousing principles.
  • Liaise with leaders from individual data domains to understand business priorities and drive data asset efforts from inception to release management.
  • Lead and manage the Database Administration function, providing guidance to ensure high availability, scalability, and performance.
  • Monitor data transformation efforts for accuracy, reliability and performance.

Job Requirements
  • Bachelor's degree required in information science, data management, computer science or related field preferred.
  • 10+ years' experience in IT role, specializing in data engineering
  • Demonstrates problem solving ability that allows for effective and timely resolution of system issues including but not limited to production outages.
  • Strong, hands on experience in Data Modeling and Data Architecture with knowledge of modern approaches to Data Management
  • Experience in setting up Data Quality and Data Governance frameworks that are part of Data Engineering
  • Ability to lead small to medium sized hybrid teams including vendors.
  • Ability to evaluate risks and provide recommendations / solutions in a timely manner.
  • Exceptional interpersonal skills and written communication skills
  • 8+ years of SQL and additional querying on big data systems
  • 5+ years of Data Modeling for defined business requirements
  • 7+ years of ETL experience on any technology stack, preferably SQL and IBM
  • 2+ years of working hands on cloud Data Engineering solutions preferred.
  • Familiarity with data platforms like Databricks, Snowflake, Redshift, Airflow, Cognos, SQL, etc. preferred.
  • Experience working with regulatory compliance frameworks such as GDPR and CCPA preferred.

#LI-LC1
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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About Genesco

Sourced by ZipRecruiter

Genesco Inc., based in Nashville, TN, US, is a publicly owned specialty retail company operating in the footwear, apparel, and accessories industry. The company was initially founded in 1924 as Jarman Shoe Company before eventually transitioning to its current name in 1959. Currently, it operates numerous retail stores in the US and Puerto Rico, including popular brands like Journeys, Johnston & Murphy, and Lids Sports Group. Genesco's mission is to be the leading specialty retailer in the footwear, headwear, and sports apparel industries through providing high quality products and demonstrating excellent customer service. Some of the company's notable achievements include the successful ownership and growth of multiple well-known fashion brands and a significant retail footprint in North America.

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Nashville, TN, US

Year founded

1924

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