Chief Architect, Data Systems
4 days ago
GSI Electronics Inc is seeking an experienced and innovative Chief Architect, Data Systems to lead the design, creation, and evolution of system architectures for AI, analytics, and data systems within our organization.
The ideal candidate will have extensive experience delivering scalable, high-performance data and AI architectures across cloud platforms such as AWS, Google Cloud Platform, and Databricks, with a proven ability to align technology solutions with business goals.
This individual will collaborate with cross-functional teams, including data engineers, data scientists, and other IT professionals to create architectures that support cutting-edge AI and data initiatives, driving efficiency, scalability, and innovation.
Your Impact
- Architecture Leadership: Lead the end-to-end architecture for AI and data systems, ensuring cost-effective scalability, performance, and security across cloud and on-premises environments.
- Ai & Data Systems: Design, implement, and manage data infrastructure and AI platforms, including but not limited to AWS, Azure, Google Cloud Platform, Databricks, and other key data tools. Lead the data model approach for all data products and solutions
- Cloud Expertise: Champion cloud adoption strategies, optimizing data pipelines, analytics workloads, and Ai/ML model deployment, end point creation and app integration.
- System Evolution: Drive the continuous improvement and evolution of data and AI architectures to meet emerging business needs, technological advancements, and industry trends.
- Collaboration & Leadership: Work closely with delivery teams, data engineers, data scientists, software engineers, and IT operations to implement comprehensive data architectures that support Ai and analytics initiatives focused on continuous improvement.
- Strategic Vision: Partner with business and technology stakeholders to understand long-term goals, translating them into architectural frameworks and roadmaps that drive business value.
- Governance & Best Practices: Ensure best practices in data governance, security, and compliance, overseeing the implementation of standards across Ai and data systems.
- Performance Optimization: Identify opportunities to optimize performance, cost-efficiency, and operational effectiveness of Ai and data systems including ETL, ELT and data pipeline creation and evolution and optimizing of Ai resource models.
Salary: The estimated annual salary for this position is $160,000 - $200,000 depending on location and qualifications.
Required Skills and Qualifications:
- 10+ years of experience in data architecture, Ai systems, or cloud infrastructure, with at least 3-5 years in a leadership role.
- Deep hands-on experience with cloud platforms like AWS, Google Cloud Platform (GCP), and Databricks.
- Familiarity with other data and Ai platforms is a plus.
- Expertise in data architecture, including data lakes, data warehouses, real-time data streaming, and batch processing frameworks.
- Solid understanding of containerization (Docker, Kubernetes), infrastructure as code (Terraform, CloudFormation), and big data ecosystems (Spark, Hadoop).
- Experience in applying Agile methodologies, including Scrum, Kanban or SAFe
- Excellent communication / interpersonal skills, capable of interacting with multiple levels of IT and business management/leadership.
- Hands on experience with SAP Hana, SAP Data Services or similar data storage, warehousing and/or ETL solutions.
- 10+ years of progressive IT experience
- Education: Bachelor's degree in Computer Science, Data Science, or related field. Master's degree or relevant certifications (e.g., AWS Certified Solutions Architect) is preferred.
Benefits:
- Global diversity and inclusion
- Entrepreneurial spirit and commitment to innovation
- Positive impact on society through our products and services
- Innovative technologies and tools
- Opportunities for career growth and development
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