JOB SUMMARY

The Office of the CTO (OCTO) at Equinix is chartered with driving the technology vision, strategy, and architecture to support the company’s overall business objectives. The OCTO team also leads the technical innovation function with a strong focus on software transformation and fostering engagements within software ecosystems and developer communities. The OCTO team is seeking a Distinguished Engineer, Data & ML/AI, Technology and Architecture to join our team of seasoned technologists. The ideal candidate will possess a strong passion for data life cycle management and a diverse technological background in areas pertinent to data and infrastructure, including distributed systems, cloud-native computing, machine learning, and artificial intelligence. As a Distinguished Engineer, you will have the opportunity to lead next-generation technology initiatives, help drive the technology vision and target architectures of Equinix’s technology stacks and serve as a mentor and thought leader within the technical community at Equinix and beyond. This is a senior position and an excellent opportunity for an experienced technical leader to join our team and make a significant, sustainable impact on our technology stacks. If you fully believe in the power of technology to change the world, we would like to talk to you.

QUALIFICATIONS

• 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
• Demonstrable leadership, visionary accomplishments, and extensive experience in developing data-related technologies and architectures implemented in large-scale/mission-critical deployments. Examples include solid background in data infrastructure architecture, engineering, DevOps, security, tooling, products, etc.
• Solid understanding of data-as-a-service architectures
• Excellent writing and verbal communications skills from engineering to executive
• Excellent collaboration and people skills
  Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing form.
  Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

• 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