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Vice President Data Engineering Jobs in Arizona (NOW HIRING)

Advisor Group

VP, Data Architecture

Scottsdale, AZ · On-site

$200K - $230K/yr

... data engineering, product) to land decisions and standards. * Participate in Data Governance ... P/SVP level. * Deep understanding of IBD/RIA ecosystems, custodians, and advisor data flows.

Advisor Group

VP, Data Architecture

Scottsdale, AZ · On-site

$200K - $230K/yr

... data engineering, product) to land decisions and standards. * Participate in Data Governance ... P/SVP level. * Deep understanding of IBD/RIA ecosystems, custodians, and advisor data flows.

New

Cardone Ventures

VP of Engineering

Scottsdale, AZ · On-site

$179K - $231K/yr

The VP of Engineering partners with product and business leadership to translate business goals ... Advance the company's data strategy and align with data product product owners, including client ...

Cardone Ventures

VP of Engineering

Scottsdale, AZ · On-site

$190 - $230/hr

The VP of Engineering partners with product and business leadership to translate business goals ... Advance the company's data strategy and align with data product product owners, including client ...

StandardAero

VP, Transformation

Scottsdale, AZ · On-site

Vice President of Transformation Build an Aviation Career You're Proud Of At StandardAero, we use ... Partner with functional leaders (operations, engineering, supply chain, quality, finance, IT) to ...

AAM1

VP of HOA Accounting

Tempe, AZ

... data-informed operations across the department. Partners with the SVP of Financial Operations on ... developer clients on accounting-related projects and concerns. Position Responsibilities:

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Vice President Data Engineering information

What is the difference between Vice President Data Engineering vs Data Engineering Manager?

AspectVice President Data EngineeringData Engineering Manager
ResponsibilitiesStrategic leadership, overseeing data infrastructure, setting visionTeam management, project execution, technical oversight
Required CredentialsBachelor's/Master's in CS, extensive experience, leadership skillsBachelor's/Master's in CS, technical expertise, management experience
Work EnvironmentExecutive-level, cross-departmental collaborationTeam-based, project-focused, technical environment
Industry UsageCommon in large organizations, strategic rolesWidespread across companies, operational roles

The Vice President Data Engineering focuses on strategic leadership and long-term vision for data infrastructure, while the Data Engineering Manager handles day-to-day team management and project execution. Both roles require strong technical backgrounds, but the VP role emphasizes leadership and strategy, whereas the manager role is more hands-on with technical implementation.

What is a vice president data engineering?

A Vice President of Data Engineering is a senior executive responsible for leading and overseeing the data engineering function within an organization. They manage teams that design, build, and maintain data architectures, pipelines, and infrastructure to support data analytics and business intelligence. The VP of Data Engineering collaborates closely with other executives to define data strategy, ensure data quality, and enable data-driven decision-making across the company. Their role often includes setting technical direction, managing budgets, and ensuring compliance with data governance and security standards.

What are the key skills and qualifications needed to thrive as a vice president data engineering, and why are they important?

To thrive as a Vice President of Data Engineering, you need deep expertise in data architecture, large-scale data systems, and team leadership, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or Google Cloud), big data technologies (such as Hadoop, Spark), and relevant certifications (e.g., AWS Certified Data Analytics) is highly valued. Strategic thinking, strong communication, and the ability to mentor and motivate teams are crucial soft skills for success in this executive role. These skills and qualities are essential to drive data strategy, ensure robust system performance, and align engineering efforts with business objectives.

What are some common challenges faced by a vice president data engineering, and how can they be addressed?

A Vice President of Data Engineering often deals with challenges such as aligning data strategy with business goals, managing cross-functional teams, and ensuring data quality and security at scale. Balancing rapid innovation with system reliability can also be demanding, as can integrating new technologies with legacy systems. Success in this role typically involves strong communication with stakeholders, fostering a culture of collaboration, and investing in ongoing staff development to keep pace with evolving data landscapes.

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

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

What are popular job titles related to Vice President Data Engineering jobs in Arizona?

For Vice President Data Engineering jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Vice President Data Engineering jobs in Arizona look for?

The top searched job categories for Vice President Data Engineering jobs in Arizona are:

What cities in Arizona are hiring for Vice President Data Engineering jobs?

Cities in Arizona with the most Vice President Data Engineering job openings:

Vice President Data Engineering jobs near you

VP, Data Architecture

Advisor Group

Scottsdale, AZ • On-site

$200K - $230K/yr

Full-time

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

Osaic Careers
Technology Vice President Opportunity in Financial Services
VP, Data Architecture
Location(s):
2300 Windy Ridge Parkway, Atlanta, GA 30339
877 Executive Center Drive West, St. Petersburg, FL 33702
7755 Third Street North, Oakdale, MN 55128
12325 Port Grace Boulevard, La Vista, NE 68128
18700 N Hayden Rd, Suite 255, Scottsdale, AZ 85255
Remote applicants may potentially be considered for this role.
Schedule:
Osaic has returned to the office on a hybrid schedule requiring a minimum of 4 days weekly in the office. Non-remote employees must be willing to work this schedule. Osaic is open to remote applicants for this position.
Role Type: Full time
Salary: $200,000 - $230,000 per year + annual bonus
Actual compensation offered will be determined individually, based on a number of job-related factors, including location, skills, experience, and education.
Our competitive compensation is just one component of Osaic's total compensation package. Additional benefits include health, vision, dental insurance, 401k, paid time away, volunteer days and much more. To view more details of what you can look forward to, visit our careers page: https://careers.osaic.com/Creative/Benefits
Summary:
Osaic is seeking a VP, Data Architecture to contribute to the firm's enterprise data strategy, striking the critical balance between being a core technical architect and a business leader who can operationalize governance at scale.
This role will ensure that Osaic's data - spanning Compensation & Revenue, Investors/Households, Advisors/Practices, Accounts, Asset Positions & Flows, and Client Performance - is trusted, accessible, and strategically enabling across the Independent Broker-Dealer (IBD) and RIA business lines.
The VP will design and scale Osaic's entire data ecosystem, which consists of multiple transactional data stores, a single operational data store, and a cloud-based data warehouse capable of hosting both structured and unstructured data. This leader will also oversee ingestion from custodians and platforms (PershingX, NFS, Fidelity, Schwab) and work closely with the Data Governance Committee and Osaic's Chief Data and Analytics Officer to embed governance into business, compliance, and operational practices.
This is a rare opportunity to shape the entire data backbone of one of the nation's largest wealth management platforms. You will modernize a multi-layered enterprise data ecosystem, establish the governance framework for trusted and compliant data, and directly impact advisor productivity, payout accuracy, and client transparency. This role blends technical change leadership with business impact, ensuring data becomes a strategic asset powering Osaic's growth.
Responsibilities:
Strategic Leadership
  • Own the enterprise data architecture blueprint across operational, analytical, and distribution layers.
  • Partner with Osaic's Chief Data and Analytics Officer and across business and technology teams to establish stewardship, cataloging, lineage, and quality frameworks.
  • Collaborate with the Data Governance Committee to operationalize governance across ingestion, transformation, and distribution processes.
  • Partner with business leaders in Finance, Compensation, Operations, and Advisor Experience to translate metrics into trusted, governed data sources.

Architecture & Technology
  • Architect and scale Osaic's entire data ecosystem, which consists of multiple transactional data stores, a single operational data store, and a single cloud-based data warehouse capable of hosting both structured and unstructured data.
  • Oversee data ingestion pipelines from custodians and platforms (PershingX, NFS, Fidelity, Schwab).
  • Enable secure, efficient data distribution through APIs and data-as-a-service models.
  • Ensure high performance, scalability, and cost optimization across the full data ecosystem.
  • Establish data observability, monitoring, and lineage to guarantee trust and transparency.

Governance & Compliance
  • Work closely with the Data Governance Committee to define and enforce ownership, classification, retention, and access policies.
  • Embed governance into ingestion, transformation, and distribution processes.
  • Ensure compliance with FINRA, SEC, Reg BI, and data privacy regulations.

Business Alignment
  • Ensure accurate, reconciled data is available across the advisor and client lifecycle - from client acquisition and onboarding through analysis, business processing, client service, compliance, and practice management, all the way to advisor acquisition and recruiting.
  • Provide trusted data to support compensation calculations, revenue reporting, advisor hierarchy, and enterprise AUA transparency.
  • Deliver advisor- and practice-level insights that improve retention, growth, and recruiting effectiveness.

Leadership & Influence
  • Operate in a matrixed model, influencing without direct line authority; coach domain stewards and partner teams (platform, data engineering, product) to land decisions and standards.
  • Participate in Data Governance Council and Architecture Review Board working sessions; drive decision logs, follow-through, and measured outcomes.
  • Establish standards, playbooks, and reference architectures; run a Data Architecture Community of Practice.
  • Publish data quality/observability scorecards (freshness, completeness, lineage coverage, SLA adherence) and drive remediation via accountable owners.
  • Drive a data-first culture, fostering accountability and stewardship across the firm.

Education Requirements:
  • Bachelor's degree required, or foreign equivalent, in computer science or related field, or compensating industry experience may be considered.

Basic Requirements:
  • 15+ years leading enterprise data programs supporting multi-clearing broker-dealer ecosystems, with at least 5 years at the VP/SVP level.
  • Deep understanding of IBD/RIA ecosystems, custodians, and advisor data flows.
  • Proven experience with custodian data models (Pershing, NFS, Fidelity, Schwab).
  • Expertise in architecting and managing enterprise-scale data ecosystems that include:
  • Multiple transactional data stores
  • Operational Data Stores (ODS)
  • Cloud-based data warehouses (supporting structured and unstructured data)
  • Hands-on experience with Snowflake and similar modern cloud data technologies (e.g., Redshift, BigQuery, Databricks).
  • Strong background in data ingestion pipelines, APIs, and secure data distribution frameworks.
  • Demonstrated knowledge of financial metrics (AUA, revenue, compensation, payout).
  • Hands-on leadership in data governance, lineage, cataloging, and data quality frameworks.
  • Proven ability to influence cross-functional teams in a matrixed environment.
  • Excellent communication skills; able to bridge business, technology, and compliance needs.
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About Advisor Group

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Be a part of the team behind our success! At Advisor Group, we support financial professionals nationwide, the people who help everyday Americans achieve their dreams. We're a billion-dollar business with the mentality and drive of a startup. Join us in building something special.

Industry

Finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

Phoenix, AZ, US

Year founded

1988

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