Lead and execute the strategy to build highly reliable and scalable data and analytics cloud platforms to ensure the business requirements are met
Lead the creation and implementation of repeatable and reusable frameworks for delivering data and Artificial Intelligence (AI) solutions
Establish architecture best practices, along with comprehensive standards and guidelines, to ensure adherence across the organization
Lead, design and implement Self-Service frameworks that empower business units to develop solutions in compliance with enterprise standards, promoting autonomy and innovation
Develop cloud economics frameworks that effectively monitor and analyze cloud costs at every level, driving informed financial decision-making
Consolidate legacy platforms into a single platform for achieving single source of truth
Implementation of large scale with focus on organizational change management and reducing technology debt
Solve unusually complex technical problems and provide solutions which are highly innovative and ingenious
Develop advanced hands-on Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) to address critical capability needs, facilitating effective decision-making processes
Own all communication and collaboration channels pertaining to assigned projects, including regular stakeholder review meetings, cross-team alignments and technical research studies
Establish working relationships with vendors (technology and consulting), partners and cross teams and holding them accountable
Stay up to date with the latest trends and best practices in cloud and data architecture tools and technologies
Requirements
Bachelor’s degree or higher
5+ years of experience designing and implementing scalable computing infrastructure for data solutions, including cloud architectures (AWS, Azure, Google Cloud)
5+ years of experience with Information Technology architecture including cloud and data architecture in a large-scale, hybrid cloud and on-prem environment
5+ years of experience working with Apache Spark or Databricks
5+ years of experience in leading and partnering with cross-functional teams, involving key stakeholder relationship management
5+ years of experience with data engineering and data pipelines for On-Prem cloud, hybrid data models and data warehouses
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