Back to jobs

Data Operations Support Lead - ETL + Snowflake + Azure

Colombo, Sri Lanka

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
Apply at Gallagher

What you’ll work on

Full posting
  • Own incident intake, triage, prioritisation and follow-up for data operations

  • Act as main escalation point for complex data pipeline and platform issues

  • Coordinate daily production support with Data Engineering, DBAs, BI, Infrastructure and Security

  • Prepare monthly service reports on SLAs, KPIs, incidents and service health

  • Support SOX, GDPR and internal audit evidence, remediation and control validation

From the employer’s posting
Own the data operations intake process, including incident logging, triage, communication, prioritisation, and follow-up actions.
Act as the main escalation point for complex data pipeline, integration, and platform issues.
Coordinate day-to-day production support activity with Data Engineering, DBAs, BI, Infrastructure, and Security teams.
Prepare monthly service reports covering SLAs, KPIs, incidents, changes, and service health.
Support SOX, GDPR, and internal audit activity, including evidence preparation, remediation, and control validation.

Tools in this posting

  • SQL
  • Azure
  • dbt
  • Fivetran
  • Snowflake
  • SQL Server
  • Airflow
Source — Tool mentions in context
Introduction At Gallagher, we help clients face risk with confidence because we believe that when businesses are protected, they’re free to grow, lead, and innovate. You’ll be backed by our digital ecosystem: a client-centric suite of consulting tools making it easier for you to meet your clients where they want to be met. Advanced data and analytics providing a comprehensive overview of the risk landscape is at your fingertips. Here, you’re not just improving clients' risk profiles, you’re building trust. You’ll find a culture grounded in teamwork, guided by integrity, and fueled by a shared commitment to do the right thing. We value curiosity, celebrate new ideas, and empower you to take ownership of your career while making a meaningful impact for the businesses we serve. If you’re ready to bring your unique perspective to a place where your work truly matters; think of Gallagher. Overview The Data Operations Support Lead is a senior technical and operational role within Global Data Operations at Gallagher Sri Lanka. The role helps keep enterprise production data platforms stable, reliable, and performing well, with a focus on insurance and financial data warehouse environments. You’ll act as the main escalation point for complex incidents, coordinate daily operational activity across teams, and support improvements that strengthen monitoring, automation, data governance, and service health. How you'll make an impact Own the data operations intake process, including incident logging, triage, communication, prioritisation, and follow-up actions. Act as the main escalation point for complex data pipeline, integration, and platform issues. Coordinate day-to-day production support activity with Data Engineering, DBAs, BI, Infrastructure, and Security teams. Help improve reliability, scalability, observability, and operational governance across enterprise data platforms. Support data integrity, transformation controls, lineage visibility, metadata management, and monitoring improvements. Review and help improve access controls, permissions, and data security standards. Contribute to architectural discussions, solution design reviews, and operational readiness checks for new data products. Prepare monthly service reports covering SLAs, KPIs, incidents, changes, and service health. Maintain clear documentation for pipelines, processes, dependencies, and workflows. Support SOX, GDPR, and internal audit activity, including evidence preparation, remediation, and control validation. Mentor support engineers and share practical guidance to improve team capability. Take part in system integrations, data modernisation, and platform upgrades. About You 8+ years of experience in data operations, production support, or a similar data-focused support role. Hands-on experience with ETL and ELT pipelines, data warehouses, data lakes, and complex data transformations. Experience supporting recurring production data workflows in a time-sensitive environment. Experience with Snowflake, dbt, Fivetran, Astronomer (Airflow), Automic Automation, and Microsoft SQL Server. Experience with Azure Synapse, Azure SQL, and Azure DevOps. Experience managing incident intake, prioritisation, escalation, and cross-functional coordination. Experience mentoring or providing technical guidance to junior colleagues. Ability to explain technical issues clearly to technical and non-technical stakeholders. Ability to work independently, take ownership, and make sound escalation decisions. Familiarity with access controls, data security practices, and data governance requirements. Experience supporting SOX, GDPR, and audit requests. Willingness and ability to work US business hours on an assigned US time zone schedule. #LI-Hybrid

Posting record

Report an error
Status in our records
Live
First seen by us
Sep 29, 2026 · 30 days ago
Recorded sightings
217
Last seen by us
Oct 29, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

Complete your application on ukjobs-ajg.icims.com. The employer’s form will show what is required.

Already applied? Track this application

Job description

View original posting ↗

Introduction At Gallagher, we help clients face risk with confidence because we believe that when businesses are protected, they’re free to grow, lead, and innovate. You’ll be backed by our digital ecosystem: a client-centric suite of consulting tools making it easier for you to meet your clients where they want to be met. Advanced data and analytics providing a comprehensive overview of the risk landscape is at your fingertips. Here, you’re not just improving clients' risk profiles, you’re building trust. You’ll find a culture grounded in teamwork, guided by integrity, and fueled by a shared commitment to do the right thing. We value curiosity, celebrate new ideas, and empower you to take ownership of your career while making a meaningful impact for the businesses we serve. If you’re ready to bring your unique perspective to a place where your work truly matters; think of Gallagher. Overview The Data Operations Support Lead is a senior technical and operational role within Global Data Operations at Gallagher Sri Lanka. The role helps keep enterprise production data platforms stable, reliable, and performing well, with a focus on insurance and financial data warehouse environments. You’ll act as the main escalation point for complex incidents, coordinate daily operational activity across teams, and support improvements that strengthen monitoring, automation, data governance, and service health. How you'll make an impact Own the data operations intake process, including incident logging, triage, communication, prioritisation, and follow-up actions. Act as the main escalation point for complex data pipeline, integration, and platform issues. Coordinate day-to-day production support activity with Data Engineering, DBAs, BI, Infrastructure, and Security teams. Help improve reliability, scalability, observability, and operational governance across enterprise data platforms. Support data integrity, transformation controls, lineage visibility, metadata management, and monitoring improvements. Review and help improve access controls, permissions, and data security standards. Contribute to architectural discussions, solution design reviews, and operational readiness checks for new data products. Prepare monthly service reports covering SLAs, KPIs, incidents, changes, and service health. Maintain clear documentation for pipelines, processes, dependencies, and workflows. Support SOX, GDPR, and internal audit activity, including evidence preparation, remediation, and control validation. Mentor support engineers and share practical guidance to improve team capability. Take part in system integrations, data modernisation, and platform upgrades. About You 8+ years of experience in data operations, production support, or a similar data-focused support role. Hands-on experience with ETL and ELT pipelines, data warehouses, data lakes, and complex data transformations. Experience supporting recurring production data workflows in a time-sensitive environment. Experience with Snowflake, dbt, Fivetran, Astronomer (Airflow), Automic Automation, and Microsoft SQL Server. Experience with Azure Synapse, Azure SQL, and Azure DevOps. Experience managing incident intake, prioritisation, escalation, and cross-functional coordination. Experience mentoring or providing technical guidance to junior colleagues. Ability to explain technical issues clearly to technical and non-technical stakeholders. Ability to work independently, take ownership, and make sound escalation decisions. Familiarity with access controls, data security practices, and data governance requirements. Experience supporting SOX, GDPR, and audit requests. Willingness and ability to work US business hours on an assigned US time zone schedule. #LI-Hybrid
Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Colombo, Sri Lanka

This passage needs a closer read in the full description.

Work authorization

No clear work-authorization passage found. Eligibility is unconfirmed.

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.