Manager, AI & Data Engineering

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.

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.

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,