Data & Analytics Solutions Architect
Carrier Global CorporationMatch Score
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Job Description
Structured overview of role & requirementsAbout 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.