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Staff Fullstack Engineer - Data Products

Jobgether · Remote
RemoteFull-timeTechnologySenior$179,000–$241,000/yr
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About the Staff Fullstack Engineer Data Product role

Staff Fullstack Engineer Data Product positions focus on delivering results in their domain. This page aggregates open Staff Fullstack Engineer Data Product roles and what employers typically expect.

**This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Fullstack Engineer - Data Products based in India.** This role offers the opportunity to shape the future of data-driven software intelligence within a highly distributed engineering environment. You will design and build scalable data products that transform complex software delivery information into actionable insights. As a technical leader, you will influence architecture decisions, guide engineering practices, and drive solutions from concept to production. You will collaborate across product, design, infrastructure, and platform teams to solve challenging technical problems. The position combines fullstack engineering expertise with data platforms, integrations, and cloud-scale systems. You will play a key role in creating reliable, interoperable products that empower customers and internal teams worldwide. ## ### Accountabilities: As a Staff Fullstack Engineer focused on Data Products, you will serve as a technical anchor responsible for designing, developing, and scaling systems that enable advanced data insights. You will help define technical direction, collaborate with multiple engineering teams, and deliver high-impact solutions across cloud and self-managed environments. - Architect and build systems that ingest, model, and synchronize internal and external data into a near-real-time knowledge graph. - Design integrations with external platforms such as project management, observability, customer support, and enterprise service systems. - Develop data access solutions that allow customers to consume platform data through modern analytics technologies and cloud data warehouses. - Build and maintain APIs and data delivery capabilities, including observability data outputs. - Define operational readiness standards and ensure reliability across SaaS, dedicated, and self-managed deployments. - Translate complex product challenges into practical technical strategies, architecture proposals, and iterative delivery plans. - Collaborate with backend, AI, infrastructure, product, and design teams to remove blockers and accelerate execution. - Mentor engineers through technical guidance, architecture discussions, design reviews, pairing sessions, and code reviews. - Drive engineering excellence by promoting scalable, maintainable, and high-quality software development practices. ## **Requirements:** The ideal candidate is an experienced fullstack engineer with strong technical leadership skills and a track record of building complex products across engineering and product teams. You should be comfortable operating in ambiguous environments, making architectural decisions, and communicating technical solutions clearly across distributed teams. - Proven experience owning and delivering product or platform systems at a staff engineering level across multiple teams. - Strong fullstack development experience with proficiency in Go, Ruby, and Node.js. - Deep expertise in at least one area such as reporting platforms, data systems, graph technologies, or warehouse integrations including Snowflake, Databricks, or BigQuery. - Hands-on experience building production-grade data ingestion pipelines, system integrations, or data access platforms. - Experience designing and operating multi-tenant systems across SaaS and self-managed environments. - Strong technical judgment with the ability to make trade-offs, create clarity, and move early-stage initiatives forward. - Excellent written communication skills, including experience creating architecture documents and technical proposals. - Ability to collaborate effectively across product, engineering, and platform teams in an asynchronous environment. - A proactive mindset with the ability to adapt skills from adjacent areas such as platform engineering, data engineering, or product development. ## **Benefits:** - Fully remote position with location-base…

Salary estimate

$179,000 – $241,000/yr
Provided by the employer.

Skills for this role

NODEGORUBYSnowflakeProject ManagementCommunicationLeadership

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About Jobgether

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