Manager, AI & Data Engineering

Role: Data Operations Lead

Location: Bangalore / Hyderabad
Full/ Part-time:Full time

About Carrier

Carrier Global Corporation global leader in intelligent climate and energy solutions is committed to creating innovations that bring comfortsafetyand sustainability to life. Throughcutting-edgeadvancements in climate solutions such as temperature control airqualityand transportation we improve lives empower criticalindustriesand ensure safe transport of food life-saving medicines and more. Since inventing modern air conditioning in 1902 we lead with purpose: enhancing the lives we live and the world we share. We continue to lead because of our world-class inclusive workforce that puts the customer at thecentreofeverything we do. For more information visit follow Carrier on social media at @Carrier.

About Role
Designs builds and evolves enterprise data and AI capabilities that enable reliable secure and scalable digital solutions across the organization. Oversees data platforms pipelines analytics and intelligent technologies to ensure high-quality accessible and well-governed data that supports operational and strategic decision-making

Job Description

The Data Operations Lead is a senior operations and platform reliability leader responsible for managing enterprise-scale data platforms across Snowflake AWS and Google Cloud Platform (GCP).

This role is accountable for platform stability operational excellence incident management observability performance optimization security adherence cost governance and service reliability. The Data Operations Lead will act as the operational anchor between data engineering teams platform teams cloud operations architecture security governance vendors and business stakeholders.

This is a high-impact role requiring strong judgment hands-on platform understanding operational discipline and the ability to ensure that critical data platforms and data products remain reliable secure scalable and business-ready.

Key Responsibilities

1. Data Platform Operations: Snowflake AWS & GCP

Lead day-to-day operations for enterprise data platforms across Snowflake AWS and GCP.

Ensure platform availability reliability resiliency and performance across production and non-production environments.

Manage operational readiness for data ingestion processing storage transformation and consumption workloads.

Own operational runbooks support models escalation processes and platform health reporting.

Ensure data platforms are production-ready with monitoring alerting logging backup recovery and supportability controls.

Partner with engineering and platform teams to ensure solutions align with enterprise platform standards and operational guardrails.

2. Snowflake Operations & Administration

Manage Snowflake operational activities including warehouse monitoring workload management access support performance tuning and cost tracking.

Oversee Snowflake environment stability across development test production and disaster recovery setups.

Support role-based access controls security policies data sharing controls and governance requirements.

Monitor query performance warehouse utilization storage growth and credit consumption.

Drive optimization of Snowflake usage through workload tuning warehouse sizing automation and FinOps practices.

Support issue resolution for Snowflake pipelines data loads user access consumption issues and production incidents.

3. Cloud Operations: AWS & GCP

Manage operational support for data platforms hosted on AWS and GCP.

Monitor and support cloud services related to storage compute networking identity data processing orchestration and security.

Partner with cloud platform DevOps and infrastructure teams to resolve operational issues.

Support capacity planning service lifecycle management patching coordination and cloud resource optimization.

Ensure cloud environments comply with enterprise security governance and architecture standards.

Drive cost visibility and optimization across AWS and GCP data platform services.

4. Incident Problem & Change Management

Lead major incident management for critical data platform issues.

Ensure timely triage escalation communication resolution and post-incident reviews.

Own RCA documentation and drive corrective and preventive actions.

Establish strong problem management practices to reduce recurring incidents.

Manage production changes in partnership with engineering DevOps platform and release teams.

Ensure operational risks are identified communicated and mitigated early.

5. Observability Monitoring & Reliability

Define and implement monitoring alerting logging and dashboarding standards for data platforms.

Track platform health using operational KPIs such as availability incident volume MTTR SLA/SLO adherence job failures query performance and cost trends.

Improve proactive detection of data platform issues before business impact.

Support data pipeline observability across ingestion transformation and consumption layers.

Drive continuous improvement in platform reliability resiliency and recoverability.

Promote SRE-style practices for data platform operations.

6. Data Operations Governance

Ensure operational controls are in place for critical data pipelines datasets data products and platform services.

Partner with data governance teams to support access governance auditability lineage documentation and compliance requirements.

Ensure operational processes support secure and governed delivery of data products.

Maintain support documentation SOPs knowledge articles runbooks and operational playbooks.

Drive adherence to enterprise standards for access change release monitoring and production support.

7. Automation & Continuous Improvement

Identify opportunities to reduce manual operational effort through automation.

Drive automation for monitoring alerting access workflows housekeeping cost reporting platform checks and recurring support tasks.

Work with DevOps teams on CI/CD Infrastructure as Code and platform automation.

Use scripting and automation tools such as Python SQL Shell scripting Open Tofu Terraform or cloud-native automation services.

Establish reusable operational frameworks and templates across Snowflake AWS and GCP platforms.

8. Leadership & Stakeholder Management

Lead and guide data operations engineers platform support engineers and managed service partners.

Coordinate across data engineering architecture platform security governance product and business teams.

Provide clear operational updates to leadership and stakeholders.

Manage vendor performance support SLAs escalations and service quality.

Mentor team members on operational excellence troubleshooting platform administration and stakeholder communication.

Drive a culture of accountability ownership reliability and continuous improvement.

Required Qualifications

10 years of experience in data platform operations cloud operations data engineering operations or infrastructure support roles.

Proven experience managing production-grade data platforms on Snowflake AWS and GCP.

Strong understanding of data warehouse lakehouse ELT/ETL and cloud-native data platform operations.

Hands-on experience in incident management problem management change management and production support.

Experience supporting business-critical data pipelines analytics platforms and reporting workloads.

Strong understanding of security access management monitoring alerting backup recovery and disaster recovery practices.

Experience with operational governance runbooks SOPs production support models and platform health reporting.

Strong SQL skills and ability to troubleshoot data platform issues.

Working knowledge of scripting or automation using Python Shell scripting or similar tools.

Ability to communicate complex operational issues clearly to technical and non-technical stakeholders.

Preferred Qualifications

Experience with modern lakehouse or enterprise data platform architectures.

Experience working with data observability platform monitoring or APM tools.

Exposure to tools such as Snowflake monitoring CloudWatch Google Cloud Monitoring Grafana Splunk Datadog Monte Carlo Acceldata Airflow dbt or similar platforms.

Familiarity with CI/CD Infrastructure as Code Terraform GitHub Actions Jenkins or Azure DevOps.

Experience in manufacturing analytics supply chain analytics commercial analytics or enterprise reporting environments.

Experience managing vendors or managed service providers.

ITIL Foundation certification preferred.

Snowflake SnowPro AWS or GCP certifications are preferred.

Prior experience leading a platform operations SRE cloud operations or data operations team.

Key Skills

Snowflake Administration & Operations

AWS Data Platform Operations

GCP Data Platform Operations

Data Platform Reliability

Incident & Problem Management

Production Support

Cloud Cost Optimization / FinOps

Monitoring & Observability

SQL

Python / Shell Scripting

DevOps / CI-CD

Terraform / Infrastructure as Code

Data Governance & Access Controls

Stakeholder Management

Vendor Management

Operational Reporting

Experience

10 to 15 years of total experience preferably with at least:

5 years in data platform operations or cloud platform operations.

3 years of hands-on Snowflake operational experience.

3 years supporting AWS and/or GCP data platform services.

Prior experience leading an operations team or managed services team.

Education

/ B.E. in any specialization

/ MCA preferred

Equivalent technical experience may also be considered

Notice Period

Preferably below 2 months

Targeted Companies

GCCs

Technology service companies

Cloud/data platform consulting firms

Enterprise data platform product or operations teams

Interview Focus Areas

Round 1: Technical Platform Operations

Snowflake operations and troubleshooting

AWS/GCP data platform services

Production incident handling

Monitoring and observability

SQL and platform troubleshooting

Round 2: Operations Leadership

Incident problem and change management

SLA/SLO management

Team leadership

Vendor management

Stakeholder communication

Round 3: Hiring Manager / Leadership

Operational strategy

Cross-functional collaboration

Governance mindset

Cost optimization

Ownership and leadership behaviors

Success Measures

Improved platform availability and reliability.

Reduction in recurring incidents and MTTR.

Strong operational governance across Snowflake AWS and GCP.

Improved monitoring alerting and proactive issue detection.

Better cloud and Snowflake cost visibility and optimization.

Strong stakeholder confidence in platform operations.

Increased automation and reduced manual support effort.

Ideal Candidate Profile

The ideal candidate is a hands-on operations leader with strong experience managing Snowflake AWS and GCP data platforms in a production environment. They should combine technical platform knowledge with operational discipline stakeholder management and people leadership.

They should be comfortable handling critical incidents driving RCA improving monitoring optimizing cost managing access and governance and ensuring that enterprise data platforms are reliable secure scalable and business-ready.

Benefits

We are committed to offering competitive benefits programs for all of our employees and enhancing our programs when necessary.

Make yourself a priority with flexible schedules parental leave

Drive forward your career through professional development opportunities

Achieve your personal goals with our Employee Assistance Programme

Our commitment to you

Our greatest assets are the expertise creativity and passion of our employees. We strive to provide a great place to work that attracts develops and retains the best talent promotes employee engagement fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices providing enriching career opportunities listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way.

Join us and make a difference.

Apply Now!

Carrier is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or veteran status age or any other federally protected class.

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