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Vice President Data Engineer Consultant Jobs (NOW HIRING)

PFSbrands

Vice President, Data

Holts Summit, MO · On-site

Description VICE PRESIDENT, DATA Reports to: Chief Financial Officer FLSA Status: Exempt SUMMARY ... Lead, grow, and mentor the Data & Reporting department, including Data Engineering, Data Operations ...

PFSbrands

Vice President, Data

Holts Summit, MO · On-site

Description VICE PRESIDENT, DATA Reports to: Chief Financial Officer FLSA Status: Exempt SUMMARY ... Lead, grow, and mentor the Data & Reporting department, including Data Engineering, Data Operations ...

CRH

Vice President, Data & Analytics

Atlanta, GA · On-site

Vice President, Data & Analytics Architectural Products Group Atlanta, Georgia, United States Job ... We're a trusted and strategic partner to engineers, contractors, distributors, specifiers ...

Updater

VP, Data

Responsibilities : • Own the long-term data strategy in partnership with Engineering, Finance ... prior VP / Head of Data Engineering scope (or equivalent) • Proven ownership of data systems ...

Impact Advisors

Vice President, Data & AI

$215K - $330K/yr

Impact Advisors, LLC is a nationally recognized healthcare management consulting firm delivering ... programming languages, analytical libraries, and business intelligence tools Natural leadership ...

Meredith Corporation

NY · On-site

$315 - $375/hr

Senior Vice President, Data Operations Location: New York, NY (Hybrid 3x a week in office, remote ... Partner with Product, Engineering, and Data Science leaders to align roadmaps with business ...

LendingClub Bank

VP, Data Platforms

San Francisco, CA · On-site

About the Role The VP, Data Platforms is responsible for the data platform, infrastructure, governance, and engineering services that power every business at Happen Bank -from Marketing, Personal ...

HarbourVest

Vice President, Data Engineering

Boston, MA · Hybrid

$245K - $275K/yr

HarbourVest's Quantitative Investment Science (QIS) group is seeking a Vice President of Data Engineering to lead the strategy, execution, and scaled delivery of our private equity data platform.

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How much do vice president data engineer consultant jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for vice president data engineer consultant in the United States is $44.89, according to ZipRecruiter salary data. Most workers in this role earn between $30.29 and $60.10 per hour, depending on experience, location, and employer.

What is the difference between Vice President Data Engineer Consultant vs Data Engineer?

AspectVice President Data Engineer ConsultantData Engineer
CredentialsAdvanced degrees (e.g., Master’s, PhD), extensive experience, leadership certificationsBachelor’s or Master’s in Computer Science, Data Science, or related fields
Work EnvironmentStrategic leadership, client engagement, high-level project oversightTechnical implementation, data pipeline development, coding and testing
Employer & Industry UsageConsulting firms, large corporations, tech companiesTech companies, finance, healthcare, and other data-driven industries

The Vice President Data Engineer Consultant typically focuses on strategic leadership, client relations, and high-level project management, often requiring advanced credentials and extensive experience. In contrast, a Data Engineer concentrates on technical tasks like building data pipelines and coding. Both roles are vital in data-driven organizations but differ significantly in scope and responsibilities.

What are some common challenges faced by a vice president data engineer consultant when leading large-scale data transformation projects?

A Vice President Data Engineer Consultant often faces challenges such as aligning business objectives with technical solutions, managing cross-functional teams, and ensuring data governance and security across all stages. Balancing the technical complexities of data architecture with stakeholder expectations can be demanding, especially when integrating legacy systems or scaling infrastructure. Effective communication, strategic planning, and adaptability are essential for navigating these challenges and delivering successful project outcomes.

What are the key skills and qualifications needed to thrive as a vice president data engineer consultant?

To thrive as a Vice President Data Engineer Consultant, you need deep expertise in data architecture, database management, cloud platforms, and a strong background in computer science or a related field. Familiarity with data engineering tools like Apache Spark, Hadoop, SQL, and certifications in AWS, Google Cloud, or Azure are highly valuable. Leadership, strategic communication, and problem-solving skills are essential soft skills for managing teams and aligning data solutions with business goals. These skills enable effective data strategy implementation, drive innovation, and ensure data systems support organizational objectives at an executive level.

What does a vice president data engineer consultant do?

A Vice President Data Engineer Consultant is a senior-level professional who leads data engineering teams and provides expert advice on data strategy, architecture, and infrastructure. They are responsible for designing and implementing scalable data solutions, overseeing data governance, and ensuring that data systems align with business objectives. This role often involves collaborating with executives, stakeholders, and technical teams to drive data-driven decision-making and innovation within an organization.
What cities are hiring for Vice President Data Engineer Consultant jobs? Cities with the most Vice President Data Engineer Consultant job openings:
What are the most commonly searched types of Data Engineer Consultant jobs? The most popular types of Data Engineer Consultant jobs are:
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What job categories do people searching Vice President Data Engineer Consultant jobs look for? The top searched job categories for Vice President Data Engineer Consultant jobs are:
Vice President Data Engineer Consultant jobs near you
Infographic showing various Vice President Data Engineer Consultant job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 88% Full Time, 7% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $93,381 per year, or $44.9 per hour.

VP, Data Engineer

Sumitomo Mitsui Financial Group, Inc.

Charlotte, NC

$111K - $134K/yr

Other

Re-posted 21 days ago

Job description

SMBC Group is a top-tier global financial group. Headquartered in Tokyo and with a 400-year history, SMBC Group offers a diverse range of financial services, including banking, leasing, securities, credit cards, and consumer finance. The Group has more than 130 offices and 80,000 employees worldwide in nearly 40 countries. Sumitomo Mitsui Financial Group, Inc. (SMFG) is the holding company of SMBC Group, which is one of the three largest banking groups in Japan. SMFG's shares trade on the Tokyo, Nagoya, and New York (NYSE: SMFG) stock exchanges.

In the Americas, SMBC Group has a presence in the US, Canada, Mexico, Brazil, Chile, Colombia, and Peru. Backed by the capital strength of SMBC Group and the value of its relationships in Asia, the Group offers a range of commercial and investment banking services to its corporate, institutional, and municipal clients. It connects a diverse client base to local markets and the organization's extensive global network. The Group's operating companies in the Americas include Sumitomo Mitsui Banking Corp. (SMBC), SMBC Nikko Securities America, Inc., SMBC Capital Markets, Inc., SMBC MANUBANK, JRI America, Inc., SMBC Leasing and Finance, Inc., Banco Sumitomo Mitsui Brasileiro S.A., and Sumitomo Mitsui Finance and Leasing Co., Ltd.

Role Description

Role Overview

We are seeking an experienced Vice President - Data Engineer with 10-15 years of handson experience to lead the design, development, and optimization of scalable, cloudnative data platforms. This role requires deep technical expertise in Azure, Databricks, PySpark, Python, and SQL, supporting enterprise data pipelines for regulatory, compliance, and analytics workloads.

The ideal candidate will operate at both strategic and handson levels, delivering reliable, secure, and highperformance data solutions in a highly regulated investment banking environment.

Key Responsibilities

  • Own the architecture, design, and implementation of endtoend ETL/ELT workflows using Azure Data Factory (ADF) and Azure Databricks for regulatory and compliancedriven data ingestion and transformation.
  • Integrate, standardize, and normalize structured and unstructured data from multiple internal and external sources while enforcing strict data quality and governance controls.
  • Build secure, auditable, and highperformance data pipelines supporting largescale, sensitive financial datasets.
  • Automate ingestion, transformation, and validation processes to enable near realtime analytics and regulatory reporting.
  • Design and implement efficient storage formats, partitioning, and optimization strategies for fast data access and retrieval.
  • Utilize Databricks and Delta Lake for distributed processing, ACIDcompliant storage, versioning, and timetravel capabilities.
  • Enforce data retention, archiving, and purging policies aligned with global regulatory and compliance requirements.
  • Drive the migration of legacy application logic into modern Azure Databricks, Data Lake, and SQLbased architectures.
  • Maintain comprehensive data lineage, metadata management, and audit trails using Azure Purview or equivalent frameworks.
  • Partner with data governance, risk, and compliance teams to define data standards, access controls, and security requirements.
  • Implement and manage CI/CD pipelines using GitHub and GitHub Actions, enabling automated testing, version control, and reliable deployments.
  • Review code, enforce engineering best practices, and support production deployments and operational stability.
  • Participate in Agile/Scrum ceremonies, including sprint planning, design reviews, and regulatory or audit engagements.
  • Provide technical leadership and mentorship to data engineers, setting standards and best practices across the organization.
Qualifications and Skills
  • Master's degree in Computer Science, Engineering, Information Systems, or a related field.
  • 10-15 years of handson experience in data engineering, preferably within financial services or other regulated industries

Required Technical Expertise

  • Azure Databricks (clusters, jobs, notebooks, Delta Lake, performance tuning)
  • PySpark (RDDs, DataFrames, Spark SQL, optimization techniques)
  • Azure Cloud Services:
    • Azure Data Factory (ADF)
    • ADLS Gen2
    • Azure Synapse
    • Azure Functions
    • Azure DevOps / GitHub
  • Python for data engineering and automation workflows
  • SQL (complex queries, performance optimization, largescale datasets)

Preferred / NicetoHave Skills

  • Experience designing and supporting enterprisescale ETL/ELT pipelines.
  • Strong understanding of Delta Lake, medallion architecture (Bronze/Silver/Gold), and distributed data processing.
  • Familiarity with data governance, security, encryption, and RBAC in cloudnative environments.
  • Experience with CI/CD best practices and automated deployment pipelines.
  • Exposure to BI and visualization tools such as Power BI or Tableau.
  • Familiarity with Anaplan or other enterprise planning platforms is a plus, particularly in supporting downstream financial analytics or planning use cases.
  • Exposure to or handson experience with AI agents, intelligent automation, or GenAIenabled data workflows is a strong plus.
  • Excellent analytical, communication, and crossfunctional collaboration skills.

SMBC's employees participate in a Hybrid workforce model that provides employees with an opportunity to work from home, as well as, from an SMBC office. SMBC requires that employees live within a reasonable commuting distance of their office location. Prospective candidates will learn more about their specific hybrid work schedule during their interview process. Hybrid work may not be permitted for certain roles, including, for example, certain FINRA-registered roles for which in-office attendance for the entire workweek is required.

SMBC provides reasonable accommodations during candidacy for applicants with disabilities consistent with applicable federal, state, and local law. If you need a reasonable accommodation during the application process, please let us know at accommodations@smbcgroup.com.

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