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
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
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.
