Introduction
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
Your role and responsibilities
We are seeking an experienced Data Engineer to support the design and scaling of data pipelines and infrastructure for a high-priority Agentic AI engagement. This role is central to the success of the program - the quality, accessibility, and governance of data directly enables the AI and analytics use cases being built.
You will work alongside AI architects and engineers to ensure that the right data reaches the right systems in the right form. The client is looking for someone with strong hands-on experience across modern data platforms who can operate with confidence and deliver at pace.
What You'll Do
Data Pipeline Design & Development Design, build, and maintain robust data pipelines that ingest, transform, and deliver high-quality data across the platform
Develop scalable architectures using Microsoft Fabric, Databricks, and/or Azure Synapse Analytics
Ensure pipelines are performant, reliable, and built to handle the scale and variability of enterprise data
Implement data transformation and orchestration workflows that feed AI models and analytics dashboards
Data Infrastructure & Architecture Architect and maintain the underlying data infrastructure that supports AI and analytics use cases
Define and implement data lakehouse patterns, medallion architecture, and layered data models
Collaborate with AI engineers and architects to ensure data outputs are structured and accessible for model consumption
Manage and optimize data storage, compute, and processing environments for cost and performance
Data Quality & Governance Implement data quality checks, validation frameworks, and monitoring to ensure trustworthy data outputs
Establish and enforce data governance standards including lineage tracking, cataloging, and access controls
Partner with stakeholders to document data assets and ensure discoverability across the platform
Required education
Bachelor's Degree
Preferred education
Master's Degree
Required technical and professional expertise
- 7+ years of experience designing, developing, and maintaining scalable batch and real-time data pipelines across Azure and AWS.
- Build and optimize enterprise data platforms leveraging services such as Azure Data Factory, Azure Data Lake, AWS S3, AWS Glue, Databricks, and Snowflake.
- Develop robust ETL/ELT frameworks supporting analytics, reporting, operational, and AI/ML use cases across cloud and hybrid ecosystems.
- Implement scalable ingestion and transformation pipelines for structured, semi-structured, and unstructured enterprise data sources.
- Support data industrialization efforts through reusable pipeline frameworks, standardized engineering practices, observability, monitoring, automated testing, and CI/CD deployment patterns.
- Enable trusted enterprise data foundations by implementing data quality controls, metadata management, lineage, cataloging, and governance capabilities.
- Optimize data models, distributed processing workloads, storage strategies, and query performance within Databricks and Snowflake environments.
- Integrate enterprise applications, APIs, ERP systems, CRM platforms, and event-driven architectures into centralized cloud data platforms.
- Collaborate with AI engineers, architects, analysts, and business stakeholders to support analytics, AI, and generative AI initiatives.
- Support Infrastructure-as-Code, cloud-native deployment practices, and secure enterprise data operations across Azure and AWS platforms.
Preferred technical and professional experience
Preferred Skills Familiarity with Azure Data Factory, Event Hubs, or other Azure data integration services
Experience implementing data governance frameworks and working with data cataloging tools
Knowledge of MLOps data pipelines and feature engineering for AI model consumption
Background supporting Agentic AI or generative AI programs where data quality is mission-critical
ABOUT BUSINESS UNITIBM 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 @ IBMIn 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 IBMIBM'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 DETAILSIBM 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.
Never miss an opportunity! Create an alert based on the job you applied for.