AI Empowerment & Custom Solutions Engineer consulting on AI to enhance productivity and efficiency for clients. Conducting workshops and identifying AI use cases in client environments.
About the role
- Senior Cloud Solutions Architect at Boeing leading innovative cloud architecture solutions. Collaborating with teams to implement scalable and secure data solutions for informed decision-making.
Responsibilities
- 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
Benefits
- Health insurance
- Flexible spending accounts
- Health savings accounts
- Retirement savings plans
- Life and disability insurance programs
- Paid time off
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