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Senior Data Engineer - AI & Analytics Infrastructure

May 30, 2026

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 <ul><li> Design, build, and maintain robust data pipelines that ingest, transform, and deliver high-quality data across the platform</li><li> Develop scalable architectures using Microsoft Fabric, Databricks, and/or Azure Synapse Analytics</li><li> Ensure pipelines are performant, reliable, and built to handle the scale and variability of enterprise data</li><li> Implement data transformation and orchestration workflows that feed AI models and analytics dashboards </li></ul>Data Infrastructure & Architecture <ul><li> Architect and maintain the underlying data infrastructure that supports AI and analytics use cases</li><li> Define and implement data lakehouse patterns, medallion architecture, and layered data models</li><li> Collaborate with AI engineers and architects to ensure data outputs are structured and accessible for model consumption</li><li> Manage and optimize data storage, compute, and processing environments for cost and performance </li></ul>Data Quality & Governance <ul><li> Implement data quality checks, validation frameworks, and monitoring to ensure trustworthy data outputs</li><li> Establish and enforce data governance standards including lineage tracking, cataloging, and access controls</li><li> Partner with stakeholders to document data assets and ensure discoverability across the platform </li></ul>Preferred Education Master's Degree Required Technical And Professional Expertise <ul><li>7+ years of experience designing, developing, and maintaining scalable batch and real-time data pipelines across Azure and AWS.</li><li>Build and optimize enterprise data platforms leveraging services such as Azure Data Factory, Azure Data Lake, AWS S3, AWS Glue, Databricks, and Snowflake.</li><li>Develop robust ETL/ELT frameworks supporting analytics, reporting, operational, and AI/ML use cases across cloud and hybrid ecosystems.</li><li>Implement scalable ingestion and transformation pipelines for structured, semi-structured, and unstructured enterprise data sources.</li><li>Support data industrialization efforts through reusable pipeline frameworks, standardized engineering practices, observability, monitoring, automated testing, and CI/CD deployment patterns.</li><li>Enable trusted enterprise data foundations by implementing data quality controls, metadata management, lineage, cataloging, and governance capabilities.</li><li>Optimize data models, distributed processing workloads, storage strategies, and query performance within Databricks and Snowflake environments.</li><li>Integrate enterprise applications, APIs, ERP systems, CRM platforms, and event-driven architectures into centralized cloud data platforms.</li><li>Collaborate with AI engineers, architects, analysts, and business stakeholders to support analytics, AI, and generative AI initiatives.</li><li>Support Infrastructure-as-Code, cloud-native deployment practices, and secure enterprise data operations across Azure and AWS platforms. </li></ul>Preferred Skills Preferred technical and professional experience <ul><li> Familiarity with Azure Data Factory, Event Hubs, or other Azure data integration services</li><li> Experience implementing data governance frameworks and working with data cataloging tools</li><li> Knowledge of MLOps data pipelines and feature engineering for AI model consumption</li><li> Background supporting Agentic AI or generative AI programs where data quality is mission-critical</li></ul>

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...