Pinecone
Technology
SeniorDataPlatformEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Platform Engineer at Pinecone. Skills: Data platform engineering, AI applications, Data pipelines, ETL/rETL. Build ingestion layer. Design pipelines”
What You'll Achieve.
Ship AI applications faster; Ship AI applications more confidently; Support key business decisions; Support regular reporting to Board
Industry & Context.
Root cause analysis; Troubleshooting; Data-driven decision making
What They're Looking For.
Must Have
4+ years building data pipelines, SQL comfort, Coding skills, Experience with modern orchestrator, Comfort with Docker, Comfort with Kubernetes, Comfort with cloud infrastructure, Experience integrating systems, Hands-on AI coding tools experience, Ability to design systems end-to-end
Nice to Have
Production DBT experience, Experience with semantic layer, Experience with metrics layer, Comfortable with exploratory analysis, Designing experiments a plus, Basic statistical modeling a plus, Exposure to building AI agents, Exposure to building AI applications
What You'll Do.
Build ingestion layer
Pull from third-party APIs
Pull from internal services
Build transform layer
Maintain core business datasets
Write DBT documentation
Build orchestration platform
Operate Airflow-on-Kubernetes
Improve observability
Establish metrics layer
Maintain metrics layer
Curate metric definitions
Curate metric documentation
Manage infrastructure cost
Manage infrastructure performance
Manage BigQuery costs
Manage Cloud Run costs
Keep platform efficient
Lead company-level analyses
Own company-level analyses
Partner with exec stakeholders
Answer business questions
Build views in BI tools
Support business decisions
Support Board reporting
Enable teams to self-serve
Onboard non-DE stakeholders
Help with best practices
Create reusable models
Create reusable tooling
Set standard for AI-assisted data workflow
Establish AI best practices
Establish AI patterns
How You'll Work.
Team & Collaboration
Partner with finance; Partner with GTM; Partner with product; Partner with exec stakeholders; Onboard analysts; Onboard non-DE stakeholders
Communication Scope
Board-level reporting
Process & Methodology
CI/CD
Full Job Description
ABOUT PINECONE Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone’s mission is to make AI knowledgeable. More than 9000 customers across various industries have shipped AI applications faster and more confidently with Pinecone’s developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. ABOUT THE ROLE Pinecone is looking for a Senior Data Engineer to own and grow the systems that power how we understand our business. You will design and operate the ingest, transform, orchestration, and metrics layers that feed analysts, executives, and the Board, and you will lead the analyses themselves when the question matters enough. This is a high-ownership role on a small team, with direct exposure to finance, GTM, product, and the executive staff. RESPONSIBILITIES - Own and build the ingestion layer. Design, deploy, and scale pipelines that pull from third-party APIs, internal services, and SaaS tools into BigQuery. Add new sources as the business demands. - Own and build the transform layer. Develop and maintain our DBT project, including staging, intermediate, and marts. Maintain core business datasets: users, organizations, indexes, accounts, usage, revenue. Write tests, snapshots, and documentation. Drive data quality and trust. - Own and build the orchestration platform. Operate the Airflow-on-Kubernetes environment that runs our ingest and DBT workloads. Improve reliability, scalability, observability, and CI/CD. - Establish and maintain the business-context and metrics layer. Curate metric definitions and documentation that feed both human analysts and agents. - Manage infrastructure cost and performance. Manage BigQuery, GKE, Cloud Run, and Kafka costs, right-size compute, and make sure the platform stays efficient. - Lead and own mission-critical company-level analyses. Partner with financ
Applying for this Senior Data Platform Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Ashby
- Ashby is a fast modern ATS — most applications take under 3 minutes.
- The resume parser is strong; verify parsed experience dates and job titles.
- Custom screening questions are often scored algorithmically — answer completely.
- Location field affects geo-based screening; use your actual metro area.
ANONYMOUS · UNFILTERED
What do employees actually say about Pinecone?
Real rants from real employees. Read before you apply.