Equinix is looking to drive the technology vision, strategy, and architecture to support the company’s overall business objectives, with a focus on software transformation, data life cycle management, and technological innovation.
Requirements
- Solid background in data infrastructure architecture, engineering, DevOps, security, tooling, products, etc.
- Solid understanding of data-as-a-service architectures
- Experience with distributed systems, cloud-native computing, machine learning, and artificial intelligence
- Experience with data engineering (data lakes/stores, data processing engines, search, data infrastructure)
- Experience with analytics and ML (data pipeline as a service, query engines, compute frameworks, MLOps, model building, feature engineering, etc.)
- Experience with data governance as a service (data models, catalogs, discovery, data lineage, audit, security, master data management, etc.)
Responsibilities
- Provide in-depth technical expertise to manage end-to-end data lifecycle and deliver reliable and timely data at Equinix, by identifying, evaluating and developing next-generation technologies and architecture for the infrastructure and services required
- Deliver deep and broad architecture expertise across various areas including data engineering (data lakes/stores, data processing engines, search, data infrastructure); analytics and ML (data pipeline as a service, query engines, compute frameworks, MLOps, model building, feature engineering, etc.); and data governance as a service (data models, catalogs, discovery, data lineage, audit, security, master data management, etc.)
- Drive proof-of-concept technology development initiatives, in close partnership with stakeholders, to deliver tangible outcomes that will help guide new technology investments and design decisions for data life cycle management at Equinix
- Serve as a visible technology thought leader in the industry through various engagements focused on articulating Equinix’s technology vision, strategy and architecture
Other
- Preferably, a Ph.D. or master’s degree in computer science, or relevant engineering field
- Proven years of experience, including 12+ years of relevant technology, architecture or engineering leadership experience
- Excellent writing and verbal communications skills from engineering to executive
- Excellent collaboration and people skills
- Travel requirements not specified, but may be required for industry engagements and partnerships
