Senior Manager – RTX ES Kinaxis Data Transformation

RTX

Senior Manager focusing on data integrations between SAP and Kinaxis for RTX Corporation. Utilizing Talend for data transformation and ensuring system uptime and efficiency.

Posted 7/30/2026full-timeRemote • Minnesota • 🇺🇸 United StatesSenior💰 $132,400 - $251,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Transformation and Integration, particularly with Talend and Kinaxis Maestro, while ensuring compliance with SAP S4 specifications. Proficient in SQL and experienced in managing data access and integration patterns to support ongoing data needs and system uptime.

Highest-signal resume keywords

Data Transformation Logic DevelopmentETL & Data Integration CertificationKinaxis Maestro ExperienceSQL ProficiencyCloud Data Engineering Certification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data TransformationETLData IntegrationSQLData ManagementData Access NegotiationData Update EfficiencyData Extract MaintenanceAPIsMessaging Protocols

Soft Skills

Project Status ReportingContinuous Improvement

Tools & Technologies

TalendKinaxis MaestroInformaticaPower BITableauDevOps Tools

Certifications & Qualifications

RTX CORE Champion CertificationCloud Data Engineering CertificationETL & Data Integrations CertificationGeneral Data Management Certification

Industry Keywords

SAP ECCSAP S4Kinaxis RapidResponseIntegration Test CyclesQuarterly Product Increment Planning

Tech Stack

Tools & technologies

CloudETLGoInformaticaSOAPSQLTableau

About the role

Key responsibilities & impact

Build Data Transformation logic in Talend to marry legacy SAP ECC extracts (which currently exist and feed Talend) with the to-be S4 extracts (which are being built by the SAP S4 team) and then feed the Kinaxis Maestro instances with a harmonized set of extracts combining the two feeds
Build outbound closed loop file from Kinaxis Maestro to SAP. The SAP S4 team will be responsible to load the closed loop file, but the Kinaxis Data Transformations role will ensure the outbound file meets the SAP S4 specifications
Support ongoing legacy ECC extract maintenance Post “Go-Live” for each S4 site, ongoing maintenance of S4 extracts
Fulfill all RTX employee training requirements
Obtain RTX CORE Champion certification
Support PST (SAP S4/SAP IBP) implementation timelines and various corresponding Integration Test Cycles as each site rollout occurs
Modify/Update the Data Transformations design and build as ongoing data needs dictate to support each successive S4 / IBP implementation cycle
Monitor and adjust data extract and transformation maintenance to ensure system data updates occur to drive System uptime and availability
Prepare project status update reports as requested in support of PST project
Drive continuous improvement in data update efficiency
Participate in Quarterly Product Increment (PI) Planning events to identify following quarter focus activities

Requirements

What you’ll need

Bachelor’s in Computer Science, Software Engineering, Information Systems or a related quantitative field
10 years of related experience
Cloud data engineering certification or related work experience >5 years
ETL & Data Integrations certification or related work experience >7 years – preferably with Qlik/Talend
General Data management certification (CDMP) or related work experience >10 years
Previous experience working with Kinaxis RapidResponse / Kinaxis Maestro in data integration role with knowledge of data integration patterns, ETL/ELT, APIs, and messaging protocols (REST, SOAP, OPC).
SQL proficiency — specifically the ability to explore unfamiliar database schemas and write extraction queries with little or no documentation.
Direct experience working with customer or client IT teams to negotiate and establish data access (firewall rules, VPN connectivity, service accounts, API credentials).
Expertise in data integration tools and platforms (e.g. Informatica, Talend) with proficiency in big data platforms and analytics tools (Power BI, Tableau) and a familiarity with DevOps tools and practices

Benefits

Comp & perks

medical
dental
vision
life insurance
short-term disability
long-term disability
401(k) match
flexible spending accounts
flexible work schedules
employee assistance program
Employee Scholar Program
parental leave
paid time off
holidays