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 comfort, safety and sustainability to life. Through cutting-edge advancements in climate solutions such as temperature control, air quality and transportation, we improve lives, empower critical industries and 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 the centre of everything we do. For more information, visit corporate.carrier.com or 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.Tech / B.E. in any specialization

·M.Tech / 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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