Staff Engineer, Data & Analytics

Responsibilities

We are representing a confidential SaaS organization seeking a Staff Engineer to drive the technical direction of their Data & Analytics team. This is a hybrid role combining hands-on technical leadership with people leadership responsibilities.

In this position, you will:

• Drive the technical direction of the data platform, leading architecture decisions, sequencing, and delivery in collaboration with Engineering, Product, and Design stakeholders
• Support and develop a team of 4–5 engineers, providing technical mentorship, unblocking delivery, and helping build a product-minded engineering culture
• Own and evolve the data infrastructure including data lake, data foundations, semantic layer, and data governance—building a solid base for AI and analytics features
• Lead streaming adoption across the team, bringing hands-on expertise to an area the team is actively developing
• Apply and advance strong data modeling practices across the platform
• Prioritize and mediate effectively with product stakeholders, advocating for the right technical decisions and sequencing of work
• Contribute to the evolution of a self-service data platform approach, driving the cultural and technical shift toward distributed data ownership
• Collaborate across the broader staff engineering community on cross-cutting architectural decisions

What We're Looking For

Required qualifications:

• Proven experience at Staff Engineer level or equivalent in a data engineering context
• Strong architectural understanding of data platforms: data lakes, data foundations, data governance, and orchestration
• Experience with streaming technologies (e.g., Kafka)—hands-on exposure is a strong plus
• Solid data modeling skills and the ability to raise this as a team-wide standard
• Experience working with large-scale datasets commensurate with a sizeable B2B SaaS customer base
• Python proficiency and comfort working across a modern data stack
• Strong stakeholder management and communication skills—you are comfortable pushing back, negotiating roadmaps, and finding constructive compromises with product teams
• A product-minded engineering mindset: able to balance technical rigour with pragmatic prioritization
• Leadership experience or ambition: you are comfortable guiding engineers and driving delivery

Nice to have:

• Experience with data governance for AI agents—understanding guardrails, access control, and safety considerations for agentic analytics
• Prior exposure to self-service data platform models and distributed data ownership strategies
• Experience in a product-led SaaS environment

How We Work with You

Our talent team at Get A Job.ai will guide you through the entire process. When you apply through our platform, a recruiter will screen your profile and discuss the opportunity in detail. If there's a mutual fit, we will submit your candidacy to our client for consideration. Please do not contact the client directly—all communication and coordination will flow through Get A Job.ai to ensure the best experience for everyone involved.

Pay

Compensation details will be discussed during the screening process with our recruitment team.

Equal Opportunity: Get A Job.ai is committed to inclusive recruiting practices. We welcome applications from candidates of all backgrounds and work to ensure fair consideration throughout the hiring process.