Data Analytics and Cloud Architect Lead Data Analytics and Cloud Architect Lead …

S&P Global
in New York, NY, United States
Permanent, Full time
Be the first to apply
S&P Global
in New York, NY, United States
Permanent, Full time
Be the first to apply
Data Analytics and Cloud Architect Lead
JobDescription :
• Acquire data from primary or secondary data sources
• Leverage Big Data platforms/tool/technologies for optimizing current data processing pipelines
• Ability to manage wide variety of data in different forms like structured and non-structured
• Identify, analyze, and interpret trends or patterns in complex data sets
• Innovate new ways of managing, transforming and validating data
• Establish and enforce guidelines to ensure consistency, quality and completeness of data assets
• Come up with a holistic strategy for managing model's development, CI/CD, lifecycle, analytical workbench supporting models written in various prominent technologies
• Define a roadmap for migrating existing models written in older technologies to newer platform
• Come up with tools/technologies/platforms for enabling data assets for consumption by models and exposing to partners/clients via various channels
• Explore opportunities for monetizing existing models and data assets via various channels like API, apps etc.
• Build next generation cloud ready/native DevOps infrastructure supporting data analytics applications/API/platforms
• Analyze, design and code business-related solutions, as well as core architectural changes, using an Agile programming approach resulting in software delivered on time and in budget;
• Experience of working in a development teams, using agile techniques and Object-Oriented development and scripting languages, is preferred
• Comfortable learning cutting edge technologies and applications to greenfield projects

• Ability of defining enterprise level holistic technology strategy and roadmaps
• Hands on experience of working with Big Data tools/technologies
• Experience working on Cloud technologies for building the next generation data and analytics platform
• Hands on experience of building the analytics workbench for different stakeholders
• Experience of defining the security and entitlement model with necessary controls/governance
• Strong Experience working on DevOps pipeline for models, analytics applications and APIs
• Experience of working on service enabling data and monetization
• Ability to work as an individual contributor
• Sound oral/written communication skills
• Working with various stakeholder including Scrum Masters, Project Managers, Content Analyst and DBAs, and data scientists
• Solid experience in Agile methodologies (Kanban and SCRUM)
• Strong leadership skills, e.g., written and verbal communication, organization, requirements elicitation and consensus-building

Grade: 13 (Internal Only)

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