What Youll Do :

- Play a key role in developing and driving a multi-year data technology strategy for The Data Platforms that handle Next-Gen Data platform strategies and complexities across Wayfair's large scale system strategy.

- Play the technical lead role across multiple software development teams architecting solutions at scale to empower the business, and owning all aspects of the SDLC : design, build, deliver, and maintain.

- Indirectly manage several architects and managers by offering coaching, guidance, and mentorship to support individual and team growth.

- Inspire, coach, mentor, and support your the technology team members in order to grow & retain the engineering talents,.

- Lead your team and peers by example.

- As a senior member of the team your methodologies, technical and operational excellence practices, and system designs will help to continuously improve our platforms,.

- Identify, propose, and drive initiatives to advance the technical skills, standards, practices, architecture, and documentation of our platforms,.

- Facilitate technical brainstorm and decision making with an appreciation for trade-offs,.

- Continuously rethinking and pushing the status quo, even when it challenges your/our established ideas.

What Youll Need :

- As a Senior Staff Engineer, a key focus has been on collaboratively building impactful data products and data platforms, working closely with both Product Management and Engineering stakeholders.

- This collaborative approach has been driven by a deep understanding of market opportunities, enabling the strategic development of solutions designed to achieve significant adoption.

- A results-oriented and collaborative individual with a pragmatic approach and a continuous improvement mindset, possessing hands-on experience in driving impactful software transformations within complex, high-growth environments involving cross-continentally owned products,.

- 16+ years of experience in engineering, out of which at least 10 years spent in building and adoption of the highly performant products and platforms,.

- Proven experience in making critical architectural and design decisions for large-scale platforms, demonstrating a strong understanding of the trade-offs between time-to-market and long-term flexibility, coupled with a track record of designing and building high-scale, generalizable products that deliver an outstanding user experience.

- Capability to communicate and collaborate across the wider organization, influencing decisions with and without direct authority and always with inclusive, adaptable, and persuasive communication.

- Demonstrated analytical and decision-making skills, effectively integrating technical feasibility with business requirements to drive informed and impactful outcomes.

We Are a Match Because You Have :

- Deep Expertise in Scalable, Observable Platform Engineering : Proven track record in architecting scalable data platforms and systems using modern patterns (microservices, event-driven), with built-in observability via tools like Datadog, Prometheus, and OpenTelemetry.

- Experienced in building resilient, self-monitoring services and critical components like API gateways and ingestion layers.

- Strong New-Age Data Platform Design Mindset for Data Platforms : Applies Data Mesh principles (de-centralized, distributed ownership) to data platform products, ensuring reliability and reducing toil for developers.

- Led SLO definition and implementation for CI/CD systems.

- Infrastructure as Code & Automation Expertise : Extensive use of Terraform and automation tools to build reusable, self-service infrastructure on platforms like Kubernetes, empowering developers with reliable, easy-to-consume environments.

- Developer-Centric Tools & API Design : Built intuitive APIs, CLI tools, and self-service deployment systems with deep empathy for developer workflows, significantly improving developer experience and productivity.

- Robust Software Engineering & Developer Journey Focus : Strong coding skills and deep understanding of the developer lifecycle, consistently driving platform features that align with developer needs and workflows.