Candidates for this position are preferred to be based in Bangalore, India and will be expected to comply with their team's hybrid work schedule requirements.
Who We Are
The Data Platform team
builds and maintains the core systems that power Wayfair’s global data and analytics ecosystem.
Our mission is to empower engineers, analysts, and data scientists to ingest, transform, and query data at scale — faster, more reliably, and with greater operational efficiency.
We design and optimize end-to-end data pipelines, ensuring seamless ingestion from diverse sources, robust transformations for accuracy and governance, and query speed contracts that deliver predictable, high-performance access to data.
Operating at the intersection of data engineering, platform scalability, and automation, we develop frameworks, orchestration tools, and self-service environments that streamline data product delivery.
With the integration of Generative AI and intelligent automation, we’re redefining how data platforms can accelerate insight generation and unlock measurable value across Wayfair’s ecosystem
What You’ll Do
- Design and deliver scalable solutions
for complex data platform challenges — including data ingestion pipelines, orchestration layers, and developer tooling — with minimal oversight.
- Work across a
modern data tech stack
: GCP BigQuery, Airflow, Dataflow, Terraform, and other platform components that support large-scale batch and streaming data processing.
- Architect and implement
reliable and well-tested platform services that improve the developer and tester experience for data applications.
- Collaborate with cross-functional teams to build
self-service testing and deployment frameworks
that reduce friction for data developers.
- Conduct
technical design and code reviews
to ensure maintainable, performant, and secure solutions across data systems.
- Partner with Engineering and Product leadership
to identify gaps in our data platform ecosystem, influence roadmaps, and drive platform modernization efforts.
- Mentor and guide
other engineers in data platform design, reliability engineering, and best practices around data quality and observability.
- Promote
a culture of AI-first engineering,
where automation, experimentation, and creativity drive continuous improvements in performance, scalability, and insight generation.
We Are a Match Because You Have:
- 6+ years of experience in Data architecting and implementing robust, distributed applications
- Enabling all engineers to develop ,deploy and manage data pipelines seamlessly.
- Reducing environment setup and testing time through automation and AI-assisted workflows.
- Enhancing the reliability, security, and scalability of Wayfair’s data ecosystems through continuous platform improvements.