Top Senior Data & Analytics Jobs in Kansas City, MO

Lead data engineering engagements to design, build, and maintain ETL/ELT pipelines and cloud data architectures. Manage client accounts and mentor teams, leverage tools like DataStage, AWS/Redshift, DB2/SQL Server, GoldenGate, and BI/visualization platforms to deliver analytics, performance tuning, and scalable reporting solutions.

Design, build, and maintain data pipelines and architectures, apply advanced analytics to generate client insights, develop BI dashboards, collaborate with stakeholders to solve data challenges, and support managed-services engagements while upholding technical and professional standards.

Own and operate the end-to-end consumer data pipeline: ingest, clean, transform, and unify multi-source behavioral data into a deduplicated identity graph. Build and run batch and streaming pipelines, enforce data-quality and observability, support low-latency AI query access, perform root-cause incident analysis, and ensure privacy, compliance, and clear data lineage. Collaborate across product and fulfillment teams to maintain SLAs and document data contracts and architecture.

Develop and maintain Jasper reports with advanced Jasper-to-Excel formulas, write and optimize SQL (Sybase or MS SQL Server), work in Agile teams, and communicate with stakeholders to deliver reporting solutions.

Lead unstructured data governance by designing and implementing metadata, classification, retention, and access controls. Administer governance tools (Collibra), partner with data owners and cloud teams to operationalize metadata pipelines, enable AI-ready assets, drive compliance and stewardship, and deliver training and automation to improve discoverability and retention readiness.

Design, build, and optimize cloud data platforms using Azure, Databricks, and Fabric. Lead discovery, architecture, and data ingestion (batch/streaming), implement medallion/lakehouse designs, engineering transformations, and recommend governance, DevOps, and security best practices while working directly with clients.

The SAP Business Analyst will gather requirements, define RTR needs, lead workshops, and support SAP S/4HANA implementation with a focus on the CO module.

The Business Analyst will engage with clients and stakeholders to gather requirements, document processes, and support Agile delivery for a Money Market portal at SS&C.

The Data Architect/ETL role involves designing and maintaining data structures, leading projects, advising IT teams, and ensuring data quality.

The Senior Data Engineer will own the data pipelines, platform architecture, and data modeling for a cloud data warehouse, ensuring data integrity and usability for business functions like Finance and HR.

The Data Solutions Manager leads a team to deliver high-quality data solutions, overseeing data management, sharing, governance, and modernization across on-prem and cloud environments.