AI Cloud Data Engineer

UMB's
Artificial Intelligence (AI)
team is responsible for driving automation, data-driven decision making and software modernization using AI centric tools. Currently, we leverage machine learning, natural language processing, predictive analytics, and generative AI to enhance customer experience, and improve operational efficiency. This includes utilizing fraud protection software to ensure regulatory and system availability.

As the
AI Cloud Data Engineer,
you will be responsible designing, building, and optimizing cloud-based data pipelines and platforms that support enterprise AI/ML workloads. This role combines cloud engineering and data engineering expertise to deliver secure, scalable, and compliant data solutions in hybrid and multi-cloud environments. The AI Cloud Data Engineer works closely with architects, data scientists, and application teams to ensure data quality, governance, and performance for AI-driven initiatives across payments, fraud detection, compliance, and customer experience. This is a subset of the overall responsibilities which will include multiple initiatives as assigned by IT leadership.

This role is hybrid (Mon through Thu on-site / Fri remote) at the UMB Tech Center located in downtown Kansas City, MO.
How You'll Spend Your Time

• Design and develop cloud-native data pipelines to support AI/ML training, validation, and inference.
• Build and optimize data lakes, warehouses, and lakehouse environments (e.g., Delta Lake, Apache Iceberg) in the cloud.
• Collaborate with AI Data Architect and AI Cloud Architect to ensure data platforms meet enterprise standards.
• Automate ETL/ELT workflows and orchestration using tools such as Airflow, Glue, and Dataflow.
• Ensure compliance with financial data security, governance, and regulatory requirements (GLBA, GDPR, OCC, FFIEC).
• Integrate structured, unstructured, and streaming data sources from banking systems, payment hubs, and customer channels.
• Implement monitoring and observability solutions for cloud-based data pipelines.
• Optimize data workflows for performance, scalability, and cost efficiency in cloud environments.
• Support disaster recovery, resiliency, and data availability strategies for AI platforms.
• Troubleshoot data pipeline, integration, and cloud deployment issues.

We're excited to talk with you if

• You have a Bachelor's degree in Computer Science, Data Engineering, Cloud Computing, or related field and at least 3 years of experience in cloud data engineering or enterprise data integration, OR equivalent combination of education and work experience.
• You have proficiency with at least one major cloud platform (AWS, Azure, GCP).
• You have experience with SQL and programming languages such as Python, Scala, or Java.
• You have familiarity with containerization and orchestration (Docker, Kubernetes).
• You have expertise in data pipeline frameworks (Apache Spark, Kafka, Flink, Dataflow).
• You have knowledge of cloud-native data services (AWS Redshift, Glue, Snowflake, BigQuery, Azure Synapse).
• You have familiarity with MLOps and integrating data workflows with AI model lifecycle.
• You have strong understanding of data governance, lineage, and metadata management.
• You have the ability to design fault-tolerant, secure, and scalable data workflows in the cloud.

Bonus Points If

• You have a Master's degree in Data Science, Cloud Engineering, or related discipline and at least 5 years of experience in cloud data engineering within financial services or regulated industries.
• You have any of the following certifications AWS Certified Data Analytics Specialty, Google Professional Data Engineer, or Microsoft Azure Data Engineer Associate.
• You have experience with regulatory reporting and AI-ready data pipelines.
• You have a background in high-volume financial data systems or real-time payments.
• You have hands-on experience with Lakehouse technologies (Delta Lake, Apache Iceberg, Hudi).
• You have knowledge of distributed data architectures and data mesh patterns.
• You have familiarity with AI observability tools and data drift monitoring.
• You have experience with privacy-preserving technologies and secure data-sharing frameworks.
• You have deep understanding of cloud cost optimization for data-intensive AI workloads.

Applicants must have legal authority to work in the United States. Work Visa sponsorship is not available for this position.
Compensation Range
$69, $149,000.00

The posted compensation range on this listing represents UMB's standard for this role, but the actual compensation may vary by geographic location, experience level, and other job-related factors. In addition, this range does not encompass the full earning potential for this role. Please see the description of benefits included with this job posting for additional information
UMB offers competitive and varied benefits to eligible associates, such as Paid Time Off; a 401(k) matching program; annual incentive pay; paid holidays; a comprehensive company sponsored benefit plan including medical, dental, vision, and other insurance coverage; health savings, flexible spending, and dependent care accounts; adoption assistance; an employee assistance program; fitness reimbursement; tuition reimbursement; an associate wellbeing program; an associate emergency fund; and various associate banking benefits. Benefit offerings and eligibility requirements vary.

Are you ready to be part of something more?
You're more than a means to an end—a way to help us meet the bottom line. UMB isn't comprised of workers, but of people who care about their work, one another, and their community. Expect more than the status quo. At UMB, you can expect more heart. You'll be valued for exactly who you are and encouraged to support causes you care about. Expect more trust. We want you to do the right thing, no matter what. And, expect more opportunities. UMBers are known for having multiple careers here and having their voices heard.

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