Description

Introduction

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Your role and responsibilities

We are looking for a Managing Consultant, Data Engineering to join our growing team of experts. This position leads the design and delivery of complex data solutions across modern cloud platforms, with a strong emphasis on Snowflake. The work spans data architecture, data modeling, pipeline patterns, and defining architectural patterns that drive consistent, scalable data delivery across client engagements towards high-quality enterprise data and AI delivery outcomes.

The ideal candidate is as comfortable whiteboarding an architecture as they are rolling up their sleeves in delivery. They incorporate AI tooling into how they work and deliver, can advise clients on where AI fits into their data strategy, and know how to architect and build pipelines that move toward AI-ready outcomes - while keeping foundational data quality and structure intact.

This role carries team leadership responsibility across engagements of varying size and complexity. The Managing Consultant is accountable for delivery outcomes - keeping teams aligned, removing blockers, and ensuring the quality of what ships to the client. This person sets the technical direction for their teams, establishes standards, and mentors consultants at earlier stages of their career. They are equally capable of engaging at the client level - communicating architectural decisions, managing expectations, and building trust with stakeholders. This person thrives in a consulting environment where no two engagements are the same.

This role can be performed from anywhere in the US

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

• Bachelor's degree in Computer Science, Engineering, or equivalent field.
• 8+ years in data engineering, architecture, or related technical roles.
• Deep expertise in data warehouse design and large-scale data modeling.
• Proven track record architecting high-throughput, real-time data ingestion frameworks.
• Hands-on experience with ETL/ELT tools such as Matillion or Informatica.
• Strong proficiency in SQL, Python, and Scala.
• Cloud platform experience across AWS, Azure, or GCP.
• Advanced Snowflake expertise, including performance optimization and platform-native features.
• Experience architecting data platforms that support AI and ML workloads.
• Familiarity with MLOps concepts and AI-powered pipeline development.
• Ability to advise clients on AI readiness and data maturity.
• Skilled at leveraging AI tools to improve team delivery outcomes.
• Proven ability to lead, mentor, and grow technical teams.
• Track record of managing delivery across complex, multi-workstream engagements.
• Strong client-facing communication and executive stakeholder engagement skills.
• Experience defining architectural standards and patterns across delivery teams.
• Ability to hire, develop, and performance-manage technical staff.
• Comfortable working in Agile delivery environments.

Preferred technical and professional experience

• Advanced Snowflake Platform Knowledge: Experience with advanced Snowflake features, including data sharing, data pipelines, and data security. Ability to design and implement complex data and AI use cases on Snowflake, including familiarity with Snowflake Cortex and platform-native AI capabilities.
• Cloud Architecture Expertise: Experience designing scalable, secure cloud architectures for data and AI applications across AWS, Azure, or GCP. Knowledge of cloud migration, deployment, and management best practices at enterprise scale.
• Data Engineering Best Practices: Experience implementing data engineering best practices, including data modeling, data warehousing, and data governance. Ability to optimize data and AI solutions for performance and scalability across complex, multi-workstream engagements.
• AI & MLOps Familiarity: Exposure to MLOps practices, vector databases, feature stores, and LLM integration within data pipelines. Experience working at the intersection of data engineering and applied AI in production environments is a strong plus.
• AI Strategy & Client Advisory: Familiarity advising clients through AI readiness assessments and data maturity evaluations. Ability to define and govern AI tooling standards within a delivery team is highly valued.

ABOUT BUSINESS UNIT

IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.

YOUR LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

ABOUT IBM

IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

OTHER RELEVANT JOB DETAILS

IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to:

- Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being

- Financial programs such as 401(k), cash balance pension plan, the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs

- Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law

- Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals

- Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences

We consider qualified applicants with criminal histories, consistent with applicable law.

This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role.

IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

Job Title

Managing Consultant, Data Engineering

Date posted

18-Mar-2026

Job ID

103615

City / Township / Village

JEFFERSON CITY, No City, No City, No City, Naples, TUCSON, Newark, No City, No City, RESEARCH TRIANGLE PARK, Armonk, Hampton, Yorktown Heights, DURHAM, Denver, Capitola, Irving, Essex Junction, No City, No City, Tulsa, Charlotte, Norwalk, HOPEWELL JUNCTION, Raleigh, SECAUCUS, Annapolis Junction, Plano, CARROLLTON, Lansing, Boston, YUMA, Irvine, East Wenatchee, PRESCOTT, Bellevue, FLAGSTAFF, BOISE, Portland, ALEXANDRIA, Atlanta, LOS ANGELES, Columbus, Chantilly, Santa Monica, JERSEY CITY, Richardson, Philadelphia, Charleston, San Jose, Santa Clara, Denver, Minneapolis, Dallas, SOMERVILLE, Houston, Austin, San Francisco, Seattle, Phoenix, Lake Havasu City, WASHINGTON, Reston, McLean

State / Province

Missouri, South Carolina, Georgia, Florida, South Dakota, Minnesota, Tennessee, Illinois, Ohio, Texas, Montana, Iowa, New York, North Carolina, Idaho, Virginia, North Dakota, Alabama, Arkansas, Colorado, Michigan, Oklahoma, Oregon, Pennsylvania, Utah, Indiana, Arizona, Kentucky, Washington, Mississippi, Massachusetts, Maryland, Delaware, Kansas, Louisiana, Vermont, Nebraska, Wisconsin, New Mexico, Nevada, California, New Jersey, Connecticut, West Virginia, District of Columbia, Rhode Island, Maine, New Hampshire, Wyoming

Country

United States

Work arrangement

Hybrid

Area of work

Software Engineering

Employment type

Regular

Contract type

Regular

Projected Minimum Salary per year

147,000.00

Projected Maximum Salary per year

275,000.00

Position type

Professional

Travel required

Some travel may be required based on business demand

Company

(0147) International Business Machines Corporation

Shift

General (daytime)

Is this role a commissionable/sales incentive based position?

No



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