Senior Data Platform Engineer, Equinix
Data & AI
Digital infrastructure company
Be an early applicant
Digital infrastructure company
1001+ employees
Be an early applicant
1001+ employees
Company mission
To provide finance, manufacturing, transport, government, and healthcare organizations a cloud-first world.
Role
Who you are
- The ideal candidate will have a strong background in building and maintaining scalable AI & Data Platform, optimizing workflows, and ensuring the reliability and performance of Data Platform systems
- 8–12 years of hands-on experience in Platform or Data Engineering, Cloud Architecture, AI Engineering roles
- Strong programming background in Java, Python, SQL, and one or more general-purpose languages
- Deep knowledge of data modeling, distributed systems, and API design in production environments
- Proficiency in designing and managing Kubernetes, serverless workloads, and streaming systems (Kafka, Pub/Sub, Flink, Spark)
- Experience with metadata management, data catalogs, data quality enforcement, and semantic modeling & automated integration with Data Platform
- Proven experience building scalable, efficient data pipelines for structured and unstructured data
- Experience with GenAI/LLM frameworks and tools for orchestration and workflow automation
- Experience with RAG pipelines, vector databases, and embedding-based search
- Familiarity with observability tools (Prometheus, Grafana, OpenTelemetry) and strong debugging skills across the stack
- Experience with ML Platforms (MLFlow, Vertex AI, Kubeflow) and AI/ML observability tools
- Prior implementation of data mesh or data fabric in a large-scale enterprise
- Experience with Looker Modeler, LookML, or semantic modeling layers
What the job involves
- We’re looking for a Senior Platform Engineer with a strong foundation in data architecture, distributed systems, and modern cloud-native platforms to architect, build, and maintain intelligent infrastructure and systems that power our AI, GenAI and data-intensive workloads
- You’ll work closely with cross-functional teams, including data scientists, ML & software engineers, and product managers & play a key role in designing a highly scalable platform to manage the lifecycle of data pipelines, APIs, real-time streaming, and agentic GenAI workflows, while enabling federated data architectures
- Develop and maintain real-time and batch data pipelines using tools like Airflow, dbt, Dataform, and Dataflow/Spark
- Design and develop event-driven architectures using Apache Kafka, Google Pub/Sub, or equivalent messaging systems
- Build and expose high-performance data APIs and microservices to support downstream applications, ML workflows, and GenAI agents
- Architect and manage multi-cloud and hybrid cloud platforms (e.g., GCP, AWS, Azure) optimized for AI, ML, and real-time data processing workloads
- Build reusable frameworks and infrastructure-as-code (IaC) using Terraform, Kubernetes, and CI/CD to drive self-service and automation
- Ensure platform scalability, resilience, and cost efficiency through modern practices like GitOps, observability, and chaos engineering
- Lead initiatives in data modeling, semantic layer design, and data cataloging, ensuring data quality and discoverability across domains
- Implement enterprise-wide data governance practices, schema enforcement, and lineage tracking using tools like DataHub, Amundsen, or Collibra
- Guide adoption of data fabric and mesh principles for federated ownership, scalable architecture, and domain-driven data product development
- Integrate LLM APIs (OpenAI, Gemini, Claude, etc.) into platform workflows for intelligent automation and enhanced user experience
- Build and orchestrate multi-agent systems using frameworks like CrewAI, LangGraph, or AutoGen for use cases such as pipeline debugging, code generation, and MLOps
- Experience in developing and integrating GenAI applications using MCP and orchestration of LLM-powered workflows (e.g., summarization, document Q&A, chatbot assistants, and intelligent data exploration)
- Hands-on expertise building and optimizing vector search and RAG pipelines using tools like Weaviate, Pinecone, or FAISS to support embedding-based retrieval and real-time semantic search across structured and unstructured datasets
- Create extensible CLIs, SDKs, and blueprints to simplify onboarding, accelerate development, and standardize best practices
- Streamline onboarding, documentation, and platform implementation & support using GenAI and conversational interfaces
- Collaborate across teams to enforce cost, reliability, and security standards within platform blueprints
- Act as a thought leader across engineering by introducing platform enhancements, observability, and cost optimization techniques
- Mentor junior engineers and foster a culture of ownership, continuous learning, and innovation
Our take
Equinix is a veteran player in the digital infrastructure market, connecting industry-leading organizations in finance, manufacturing, retail, transportation, government, healthcare, and education.
The company provides a range of services within the categories of digital, support, data center, and interconnection, with capabilities including, for example, simplifying hybrid cloud deployments or securing on-site deployments. It has an extensive range of partners, granting its clients access to a vast range of industry-leading technologies atop its own offerings.
With a wide global presence, Equinix has secured a path to continued success by its ability to keep abreast of developments in the space. The company is comfortably positioned to remain a robust and leading player across multiple growth avenues and can be expected to make more smart developments and partnerships in the future.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
9% employee growth in 12 months
Company
Company benefits
- Equinix employees receive excellent health care and counseling plans that vary by country to ensure the well-being of you and your family. We offer paid vacations and holidays and encourage community involvement year-round via volunteer opportunities
- Spending time with your loved ones and taking care of your family are important. Equinix provides a range of country-specific programs that ensure you have the resources needed to thrive and manage your family’s needs
- Equinix offers different programs to help you build your financial security, make charitable donations and seek additional education. In many countries we also offer a flexible employee stock purchase plan
Company HQ
Redwood Shores, Redwood City, CA
Leadership
Charles Meyers
(President & CEO (Not Founder))Former Senior Associate at Booz Allen & Hamilton, President and COO at BellSouth.net, and VP of Business and Corp Development at Internet Security Systems. Before becoming CEO of Equinix, they were a Senior Technology Executive and Fitness Entrepreneur at Life Restorations LLC and Group President of Messaging and Mobile Media at VeriSign.
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