Data & Analytics Solutions Architect
Carrier Global Corporation (company site, opens in a new tab)12+ yrsBengaluruOn-siteDirect career pageEst. 35–55 LPA
Posted 14d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end design and implementation of complex data and analytics solutions ensuring scalability, performance, cost-effectiveness, and security.
- Oversee data migration from legacy systems to new platforms, focusing on enterprise data models, pipelines, and integration frameworks using technologies like Google Cloud and Snowflake.
- Provide technical leadership and mentorship to architects, engineers, and data scientists while collaborating with platform, DevOps, and cloud teams for automation and solution assessments.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
- 12+ years of hands-on experience in data architectures, analytics solution design and implementation.
- Strong expertise with cloud data platforms, specifically Google Cloud Platform (BigQuery, Vertex AI, Dataflow, Dataproc, Looker) and Snowflake (data warehouse, data sharing, performance optimization).
- Proficiency in data design patterns using structured and semi-structured data; experience with relational and non-relational systems like SAP/JDE/Oracle/Salesforce/Ariba/MongoDB/IoT systems.
Ideal Candidate Profile
- Senior-level professional with deep expertise in designing scalable and secure enterprise data and AI architectures within cloud environments, especially GCP and Snowflake.
- Experienced in leading cross-functional teams including architects, engineers, and data scientists in large-scale migration and integration projects.
- Demonstrated ability to evaluate and recommend analytics tools and drive innovation through AI/ML and automation adoption in data-driven business contexts.