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Vp Data Warehouse Jobs (NOW HIRING)

VP, Data Engineering

Los Angeles, CA ยท On-site

$194K - $250K/yr

VP, Data Engineering AXS is a global leader in live event ticketing and e-commerce, processing more ... This includes our data lake and warehouse, streaming and batch pipelines, data quality and ...

Vice President, Data & Analytics

Columbus, OH ยท On-site +1

$173K - $224K/yr

The Vice President, Data & Analytics provides executive leadership for the organization's data strategy, data governance, enterprise data warehouse, business intelligence, and AI initiatives - and is ...

NY ยท On-site

$315 - $375/hr

Senior Vice President, Data Operations Location: New York, NY (Hybrid 3x a week in office, remote ... Drive evolution of data warehouse/lakehouse strategy (e.g., BigQuery, Snowflake, DBT) for ...

Data Architect - Vice President

Newark, NJ ยท Hybrid

$66.50 - $85.75/hr

About the job Data Architect - Vice President Data Architect - Vice President Location: Hybrid (2 ... warehouses, or data marts Comfort working in Linux environments Financial services or capital ...

Data Architect - Vice President

Newark, NJ ยท Hybrid

$66.50 - $85.75/hr

About the job Data Architect - Vice President Data Architect - Vice President Location: Hybrid (2 ... warehouses, or data marts Comfort working in Linux environments Financial services or capital ...

VP, Data

Bradenton, FL ยท On-site

$180 - $280/hr

The VP owns the strategy, execution, and evolution of the enterprise data roadmap, overseeing data infrastructure, business intelligence, analytics, and data science capabilities that enable ...

The role will oversee the ingestion and hydration of the warehouse from a broad range of inbound ... The Vice President of Data will ensure that data is transformed into trusted, reusable, and well ...

New

VP, Data Engineering

San Francisco, CA ยท On-site

$212K - $273K/yr

The Role The Vice President of Data Engineering will lead AXS' global data engineering organization ... This includes our data lake and warehouse, streaming and batch pipelines, data quality and ...

VP, Data Engineering

Los Angeles, CA ยท On-site

$194K - $250K/yr

The Role The Vice President of Data Engineering will lead AXS' global data engineering organization ... This includes our data lake and warehouse, streaming and batch pipelines, data quality and ...

VP, Data Engineering

Los Angeles, CA ยท On-site

$194K - $250K/yr

The Role The Vice President of Data Engineering will lead AXS' global data engineering organization ... This includes our data lake and warehouse, streaming and batch pipelines, data quality and ...

VP, Data Engineering

San Francisco, CA ยท On-site

$212K - $273K/yr

The Role The Vice President of Data Engineering will lead AXS' global data engineering organization ... This includes our data lake and warehouse, streaming and batch pipelines, data quality and ...

VP, Data (Bradenton)

Bradenton, FL ยท On-site

$125K - $160K/yr

The VP owns the strategy, execution, and evolution of the enterprise data roadmap, overseeing data infrastructure, business intelligence, analytics, and data science capabilities that enable ...

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Vp Data Warehouse information

See salary details

$25K

$125.9K

$171K

How much do vp data warehouse jobs pay per year?

As of Sep 5, 2026, the average yearly pay for vp data warehouse in the United States is $125,852.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $160,000.00 per year, depending on experience, location, and employer.

What does a VP of Data Warehouse do?

A VP of Data Warehouse is a senior executive responsible for overseeing an organization's data warehousing strategies and operations. They lead teams that design, implement, and maintain large-scale databases, ensuring data is stored securely and efficiently for business analysis. Their role often involves collaborating with other departments to align data systems with business goals, managing budgets, and ensuring compliance with data governance and security standards. Additionally, they stay updated with the latest technologies to continually improve data warehouse performance and scalability.

What are the key skills and qualifications needed to thrive as a VP Data Warehouse?

To thrive as a VP Data Warehouse, you need deep expertise in data management, data architecture, and analytics, often supported by a degree in computer science or a related field and substantial leadership experience. Familiarity with enterprise data warehousing tools (like Snowflake, Teradata, or Oracle), ETL processes, cloud platforms, and relevant certifications such as CDMP are typically required. Exceptional strategic thinking, stakeholder management, and communication skills distinguish top performers in this role. These capabilities ensure the effective delivery of data-driven solutions that are aligned with business objectives and regulatory requirements.

What are some common challenges a VP of Data Warehouse faces when leading cross-functional data initiatives?

A VP of Data Warehouse often encounters challenges such as aligning diverse stakeholder requirements, managing data governance across business units, and ensuring robust data security. Balancing the needs of IT, analytics, and business teams while maintaining data quality and scalability can be complex. Success in this role relies on strong communication skills, strategic planning, and the ability to foster collaboration among technical and non-technical teams to drive data-driven decision making.

What is the difference between Vp Data Warehouse vs Data Warehouse Manager?

AspectVp Data WarehouseData Warehouse Manager
ResponsibilitiesStrategic oversight, data architecture, long-term planningOperational management, team supervision, project execution
Required SkillsLeadership, data strategy, advanced analyticsTeam management, project coordination, technical expertise
CertificationsData management, cloud certifications, leadershipData management, project management, technical certifications
Work EnvironmentExecutive-level, cross-departmental collaborationTeam-focused, project-driven, technical teams

The Vp Data Warehouse focuses on strategic leadership and long-term data architecture, while the Data Warehouse Manager handles daily operations and team management. Both roles require data management skills and certifications, but the Vp is more executive-oriented, whereas the Manager is more hands-on with projects and teams.

More about Vp Data Warehouse jobs

What cities are hiring for Vp Data Warehouse jobs?

Cities with the most Vp Data Warehouse job openings:

What are the most commonly searched types of Data Warehouse jobs?

The most popular types of Data Warehouse jobs are:

What states have the most Vp Data Warehouse jobs?

States with the most job openings for Vp Data Warehouse jobs include:

Infographic showing various Vp Data Warehouse job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $125,852 per year, or $60.5 per hour.

VP, Data Engineering

AXS

Los Angeles, CA โ€ข On-site

$194K - $250K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

VP, Data Engineering

AXS is a global leader in live event ticketing and e-commerce, processing more than $4B in annual transactions. Each year, we connect millions of fans with the artists, teams, and experiences they love, powering ticket sales for concerts, festivals, sporting events, and theater at some of the world's most iconic venues.

At the forefront of transforming live entertainment through technology, AXS has continuously advanced the industry since our founding in 2011, making it easier than ever to discover events, secure the perfect seats, and enjoy unforgettable live experiences.

We are passionate about delivering transformative experiences for our customers. As we accelerate our vision to create a seamless journey around the entire lifecycle of a live event from discovery and planning to participation and lasting memories we are seeking a proven data engineering leader to help build the platforms and pipelines that power that future. This is a unique opportunity to shape the data foundation of live entertainment alongside some of the brightest minds in technology and the industry.

The Role

The Vice President of Data Engineering will lead AXS' global data engineering organization, owning the strategy, architecture, and operation of the data platforms, pipelines, and infrastructure that power personalization, analytics, fraud prevention, pricing, and reporting across the business. This includes our data lake and warehouse, streaming and batch pipelines, data quality and governance practices, and the systems that make trusted, real-time data available to Product, Data Science, Marketing, Finance, and Operations.

This leader will define the vision, strategy, and roadmap for AXS' data platform, ensuring it scales reliably with transaction volume while remaining secure, compliant, and cost-effective. They will drive engineering excellence, strengthening execution to deliver high-quality data infrastructure at scale.

Success in this role requires close partnership with the SVP of Software Engineering, CTO, Data Science, Product, and business stakeholders, as well as the ability to inspire, grow, and scale a world-class data engineering team. As a visible and influential leader, the VP will foster innovation and technical rigor, ensuring AXS' data infrastructure continues to be a competitive advantage.

Responsibilities
  • Partner with the CTO and senior engineering leadership to define and advance AXS' data engineering strategy and architecture.
  • Own the roadmap for data platforms, pipelines, and infrastructure, balancing long-term vision with near-term priorities across analytics, personalization, fraud, and reporting needs.
  • Oversee the design, build, and operation of scalable data pipelines (batch and real-time) that ingest, transform, and serve data reliably across the business.
  • Lead the evolution of AXS' data lake/warehouse architecture, ensuring performance, cost efficiency, and reliability at high transaction volume.
  • Establish and enforce data governance, quality, lineage, and security standards, ensuring compliance with relevant data privacy and payment regulations.
  • Build and empower a high-performing global data engineering team, fostering a culture of innovation, collaboration, and continuous learning.
  • Collaborate with Data Science, Product, Ticketing Strategy, Marketing, Finance, AEG, and other partners to ensure the data platform meets evolving analytical and operational needs.
  • Drive operational effectiveness through best practices, disciplined execution, and process improvements that increase pipeline reliability and reduce data downtime.
  • Translate business goals into actionable data engineering initiatives, ensuring technical direction supports personalization, growth, and decision-making across the company.
  • Provide clear communication and progress updates to the CTO and senior leadership.
  • Manage operating budgets and resources effectively, ensuring financial accountability and sustainable growth.
Skills & Experience
  • Proven Leadership: 13+ years in high-growth technology, including 7+ years leading data engineering or data platform teams at scale.
  • Data at Scale: Experience building and operating high-volume data platforms supporting consumer-facing, e-commerce, or transactional systems.
  • Strategic Execution: Demonstrated success defining and delivering data platform roadmaps, managing multiple initiatives end-to-end, and scaling data engineering organizations.
  • Technical Depth: Strong background with modern data stacks data warehousing (Snowflake, Redshift, or BigQuery), orchestration (Airflow, dbt), streaming/event-driven systems (Kafka, Kinesis), and scalable cloud platforms (preferably AWS).
  • Data Infrastructure & Reliability: Expertise in data pipeline architecture, data quality frameworks, observability, CI/CD, and SRE practices to ensure high reliability and data trust.
  • Databases & Storage: Skilled with enterprise and NoSQL databases (Oracle, DynamoDB, Snowflake, etc.) and designing systems for personalization, analytics, and real-time decisioning.
  • Governance & Compliance: Experience implementing data governance, lineage, and security practices, including compliance with data privacy and payment card standards.
  • Agile & Operational Excellence: Deep knowledge of Scrum/Kanban with a proven ability to optimize processes, define KPIs, and improve delivery at scale.
  • Global Team Leadership: Success leading distributed, diverse teams worldwide, building collaborative, innovative, and high-performance cultures.
  • Cross-Functional Collaboration: Strong ability to partner with Data Science, Product, Engineering, and Business Operations to align data infrastructure with company priorities.
  • Vendor & Outsourcing Management: Experience managing third-party vendors and outsourcing partnerships, ensuring quality, accountability, and alignment with strategic goals.
Pay & Benefits
  • Pay Scale: $330,000 $360,000
  • Bonus: Eligible under the current executive bonus plan
  • Benefits: Comprehensive package including:
    • Medical, dental, and vision insurance
    • Paid holidays, vacation, and sick time
    • Company-paid basic life insurance + voluntary life options
    • Parental leave
    • 401(k) plan
    • Flexible spending and health savings accounts
    • Wellness offerings

*Employer does not offer work visa sponsorship for this position.

What's in it for You?

  • Extraordinary People we're not kidding!
  • Meaningful Mission Helping revolutionize an industry and deliver better experiences for fans and clients around the world.
  • Development and Learning Opportunities for learning and leveling up through training and education reimbursement.
  • Community & Belonging A range of Employee Resource Groups (ERGs) that foster connection, inclusion, and professional growth. Access to meaningful volunteer opportunities and community engagement programs to make a positive impact beyond the workplace.