- We are looking for a Senior Data Engineer to play a key senior technical role on our Data Engineering team, helping optimize and scale our existing large-scale data platform. This is a hands-on engineering role with a strong technical leadership component. You will design and build data pipelines and platform improvements while setting a strong technical example, reviewing the work of other engineers, and serving as a go-to resource for complex architecture and data engineering challenges. Reporting directly to the Director, Data Engineering, you will work alongside a small, focused team to build reliable, scalable data products and maintain a high-performing platform that supports evolving analytics and AI/ML needs. This role is well suited to an experienced data engineer seeking significant hands-on ownership, along with opportunities to mentor others and influence technical practices across the team.

Key Accountabilities/Deliverables:

Hands-On Engineering & Technical Ownership

• Design, build, and optimize data pipelines, ingestion frameworks, and platform components that support analytics, reporting, and downstream AI/ML use cases.
• Take direct ownership of high-complexity or high-risk engineering initiatives, from technical design through implementation and rollout.
• Identify and resolve performance, scalability, and reliability bottlenecks across the existing data platform.
• Contribute to the platform's AI/ML readiness by improving data models, governance, and access patterns (e.g., feature stores, curated datasets, streaming access).
• Diagnose and resolve complex production issues, including on-call support for critical data pipeline failures.
• Write clean, well-tested, well-documented code and infrastructure-as-code, and maintain strong engineering hygiene across your work. Technical Leadership & Collaboration
• Act as a senior technical resource for the team, providing guidance on architecture, design patterns, and best practices.
• Conduct code and design reviews, helping raise the technical bar across the Data Engineering team.
• Partner closely with the Director, Data Engineering on technical design decisions, tooling evaluations, and platform roadmap input.
• Mentor other data engineers, sharing knowledge and helping develop their technical skills.
• Partner cross-functionally with Product and Engineering stakeholders to understand data needs and translate them into technical solutions.
• Help document standards, runbooks, and architectural decisions to support team scalability and knowledge sharing.
• Other duties as assigned.

Technical Knowledge and Understanding:

• Deep expertise in data pipeline design, optimization, and distributed data processing architectures with experience identifying and resolving performance and scalability bottlenecks
• Strong knowledge of cloud data platforms (AWS, Azure, or GCP) and modern data warehouse/Lakehouse.

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