Job Description
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
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
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
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
💡 Quick Summary
Seeking a career-building opportunity? The Distinguished Engineer, Data & ML/AI, Office of the CTO position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in London offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
