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Vice President Data Engineer Consultant Jobs (NOW HIRING)

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 ...

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 ...

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 ...

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

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

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 ...

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Vice President Data Engineer Consultant information

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

As of Aug 3, 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, and why are they important?

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:
What states have the most Vice President Data Engineer Consultant jobs? States with the most job openings for Vice President Data Engineer Consultant jobs include:
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 Platform Engineer - Lakehouse & AI Pipelines (New York)

Goldman Sachs Group, Inc.

Manhattan, NY • On-site

$126K - $151K/yr

Full-time

Re-posted 17 hours ago


Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

48th of 170 rated banks


Job description

Goldman Sachs Group, Inc. is seeking a Vice President Data Engineer in New York to join the Lakehouse and AI Data Platform team. The role involves designing, building, and supporting data pipelines on a modern data platform while ensuring data quality and efficiency. Candidates should have extensive experience in data engineering, with a strong programming background in Python or Java, and expertise in SQL and distributed frameworks like Apache Spark.

The position offers an opportunity to work with cutting-edge technologies while contributing to analytics and business outcomes.

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869