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Manager, Data Engineering – Customer Success

Job in Tulsa, Tulsa County, Oklahoma, 74145, USA
Listing for: London Stock Exchange Group
Full Time position
Listed on 2026-02-15
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 110000 - 150000 USD Yearly USD 110000.00 150000.00 YEAR
Job Description & How to Apply Below
Manager, Data Engineering – Customer Success page is loaded## Manager, Data Engineering – Customer Success locations:
IND-BLR-Divyasree Technopolistime type:
Full time posted on:
Posted Yesterday job requisition :
R0116812

We are building the next generation of capital markets technology. Global markets produce massive volumes of fastmoving, interconnected, and highly complex data—and our mission is to bring clarity, structure, and intelligence to it. Our teams are passionate problem solvers dedicated to capturing, storing, and transforming the world’s market data. If you thrive in data‑moving, interconnected, and highly complex data—and our mission is to bring clarity, structure, and intelligence to it.

Our teams are passionate problem solvers dedicated to capturing, storing, and transforming the world’s market data. If you thrive in data driven environments and want to lead teams that power the technology behind the world’s leading financial institutions, we’d‑driven environments and want to lead teams that power the technology behind the world’s leading financial institutions, we’d love to meet you.
** Role Overview
** As the
** Manager, Data Engineering - Customer Success**, you will lead a team responsible for supporting global financial institutions by diagnosing, resolving, and escalating technical issues across our data pipelines. You will guide engineers in delivering high-quality technical support while partnering closely with clients and cross‑quality technical support while partnering closely with clients and cross-functional development teams to ensure the reliability and performance of large‑scale, automated data flows.

This position sits at the intersection of data engineering, operations, and client engagement—ideal for a leader who excels at both managing technical teams and navigating complex data challenges in a high-impact‑impact environment.
** What You’ll Do
*** Lead, mentor, and develop a team of Data Engineers responsible for incident analysis, root-cause diagnosis, and issue resolution.
* Oversee Level 2 technical support across ingestion, transformation, and delivery pipelines.
* Drive continuous improvements in pipeline stability, performance, and monitoring practices.
* Partner with product teams and other engineering teams to prioritize fixes, escalations, and long-term technical solutions.
* Ensure consistent execution of workflow management, job scheduling, and operational best practices.
* Build strong relationships with key clients, providing guidance and transparency during technical events.
* Establish performance metrics, operational dashboards, and reporting to support data-driven decision making.
** Required Qualifications
*** The ideal candidate will have a background managing customer-facing engineering teams in financial technology or data-intensive industries.
* Strong hands‑on experience with
** Python
* * and
** object-‑oriented
** application development.
* Deep understanding of workflow and job scheduling frameworks such as
** Jenkins**,
** Rundeck**,
** Apache Airflow**, or similar.
* Proven background in batch data processing or large scale, automated data environments.
* Expertise in
** ETL*
* ** pipelines
* * and
** Data Lake architectures**.
* Proficiency with
** Git-based version control (Git Lab or Git Hub)**.
* Strong
** Linux
* * expertise, including server operations, system processes, daemons, and task automation.
* Experience leading technical teams and driving operational excellence in high-throughput data environments.
* Ability to work
** US shift:*
* ** 6:30 PM – 3:30 AM IST**.
** Nice to Have
*** Experience with cloud-based data platforms such as
** AWS Redshift**,
** Athena**,
** Dremio**, or
** Snowflake**.
* Familiarity with container orchestration and compute platforms like
** Kubernetes**,
** AWS EC2**,
** ECS**,
** or EKS**.
** Career Stage:
** Manager
* * London Stock Exchange Group (LSEG) Information:
** Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.

LSEG is a leading global financial markets infrastructure…
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