Data Platform Engineer: End-to-End Data Systems (Remote)

Leadout Capital; San Francisco (CA); Remote; USD 180,000 - 260,000; Full time

Job summary

Qualified is building a data-first platform to power AI-driven products for enterprise customers. As a Data Team Engineer, you will shape core pipelines and data models, driving architecture, data quality, and rapid delivery from inception to production.

You’ll influence multiple product areas and collaborate with leadership to make data a first-class capability. You will own end-to-end data systems, including ingestion, storage, and analytics, while ensuring freshness, reliability, and

Qualifications

• Proven experience building and operating production data systems at scale.
• Experience with PostgreSQL at scale, OLAP systems (ClickHouse or similar), CDC and event streaming, ETL orchestration, or data modelling for CRM-shaped domains.
• Demonstrated technical leadership: you influence architecture and execution beyond your immediate workstream.
• Strong track record delivering complex projects with multiple stakeholders, dependencies, or phases.
• Comfortable operating in ambiguity and driving clarity: a newer team means the roadmap and conventions are still being written.
• Pragmatic about reliability: you think in terms of data contracts, backfills, idempotency, and what happens when things fail.
• Experience with modern stacks (Rails/Postgres/AWS is a plus; adaptability matters most)

Responsibilities

• Design and ship data systems end-to-end: models, pipelines, sync, and serving layers that the whole platform builds on
• Drive technical design for high-volume, multi-component systems (ETL, event streaming, analytics stores, APIs) with an emphasis on correctness, freshness, and operational excellence
• Own Salesforce data flows at enterprise scale
• Build the analytics and insights infrastructure that powers customer-facing reporting and internal decision-making
• Define data quality standards: SLOs, data contracts, observability, and the tooling to enforce them
• Own delivery from scope/design through launch, monitoring, and iterative improvement—anticipating risks, sequencing work, and aligning stakeholders
• Partner closely with product teams and engineering leadership to make data a first-class platform capability
• Raise team effectiveness through mentoring, technical guidance, code review, and improving standards, tooling, and processes

Skills

Data systems design

PostgreSQL

ETL orchestration

Event streaming

Data modeling

Leadership

Rails

AWS

Tools

ClickHouse

PostgreSQL

AWS

Job description

Qualified is building a data-first platform to power AI-driven products for enterprise customers. As a Data Team Engineer, you will shape core pipelines and data models, driving architecture, data quality, and rapid delivery from inception to production.

You’ll influence multiple product areas and collaborate with leadership to make data a first-class capability. You will own end-to-end data systems, including ingestion, storage, and analytics, while ensuring freshness, reliability, and