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Data Sustain Lead

Job in Charlotte, Mecklenburg County, North Carolina, 28296, USA
Listing for: LTM
Full Time position
Listed on 2026-10-09
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations, Information Security & Data Protection, Database Administrator
Job Description & How to Apply Below
Job description

The Sustain Engineer is responsible for BAU operations and L2L3 sustain support of the Customer Customer Marketing Data Layer data platform including automated monitoring incident triage DQ checks ETLpipeline troubleshooting and knowledge management The engineer will operate against the target sustain state automated monitoring via AWS Lambda SP mailer Service Nowdriven incident management ConfluenceKEDBbased knowledge management chaostested resilience and be part of a rotational 24x7 shift model with US EST overlap Prior experience in a Support Program Project Application Data or Platform Sustain is strongly preferred

Must HaveBAU monitoring of data pipelines and marts health checks batch job monitoring SLA tracking

Incident triage and resolution using Service Now P1P4 adherence to response and resolution SLAsETL Data pipeline troubleshooting SAP BODS Informatica IICS Airflow Snowflake tasks streamsSQLbased root cause analysis and data reconciliation across source and target

Execution and continual improvement of runbooks SOPs and KEDB articles

Support automated monitoring ing stack AWS Lambda SP mailer Cloud Watch custom DQ sChange management via Service Now implementation verification and rollback of scheduled changes

Problem Management RCA authoring permanent fix tracking postincident review contribution

Knowledge Management creation and upkeep of Confluence pages KEDB entries runbooksScripting for automation and self healing Python Shell Power Shell Willingness  to work in rotational 24x7 shifts with US EST overlap and oncall rotation

Clear communication with onshore business stakeholders during incidents and status reviews

Nice to Have Prior experience in an Application Data Platform Support Program or Project Exposure to Snowflake administration Airflow DAG debugging dbt testsAWS Cloud fundamentals Lambda S3 Cloud Watch IAMChaos engineering Chaos Monkey testing exposure

Data Quality frameworks Great Expectations Soda custom SQL DQ suites

Banking BFSI domain exposure especially Customer Marketing data
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