Remote Data Platform Manager - Foundations Lead

Hidden Jobs; United States; Remote; USD 170,000 - 210,000; Full time

Job summary

Hidden Jobs is seeking an Engineering Manager to lead a team responsible for the foundational data platform powering analytics and downstream product features. The role combines people management with technical stewardship of large-scale data systems.

The position is remote, partnering across the organization to evolve data infrastructure that other teams rely on, with a focus on reliability, governance, and scalable data solutions.

Qualifications

• Experience leading engineering teams that own data platforms or shared infrastructure.
• Strong engineering background with hands-on work in data systems.
• Familiarity with data warehousing, batch and streaming pipelines, and orchestration tooling.
• Excellent written communication for a remote, async-first environment.
• Experience balancing long-term platform investment with short-term feature delivery.

Responsibilities

• Manage and develop a team of data platform engineers working on shared infrastructure.
• Set technical direction for foundational data systems, balancing reliability with iteration speed.
• Coordinate with analytics, product, and security stakeholders on platform needs and standards.
• Drive hiring, onboarding, and career growth within the team.
• Lead incident response and post-mortem practice for the data platform.
• Ensure data quality, governance, and documentation standards are met.

Skills

People management

Data platform engineering

System design

Data warehousing

Batch processing

Streaming pipelines

Orchestration tooling

Technical communication

Job description

Hidden Jobs is seeking an Engineering Manager to lead a team responsible for the foundational data platform powering analytics and downstream product features. The role combines people management with technical stewardship of large-scale data systems.

The position is remote, partnering across the organization to evolve data infrastructure that other teams rely on, with a focus on reliability, governance, and scalable data solutions.