Principal Engineer, Data Platform

🔥 14 hours ago

🇺🇸 United States – Remote

💵 $246k - $339k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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AlphaSense

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

💼 Consulting

🏥 Healthcare

📣 Marketing

💰 Debt Financing on 2022-06

Consulting • Healthcare • Marketing

AlphaSense is a market intelligence and search platform that empowers companies to unlock critical insights across an extensive universe of public and private content, including company filings, broker research, expert calls, and market trends. Its AI-driven technology affords users the ability to conduct comprehensive due diligence with speed and accuracy, reducing uncertainty and blind spots in decision-making. Trusted by major corporations, financial institutions, and asset management firms globally, AlphaSense serves sectors such as financial services, health care, and technology by providing generative AI-powered solutions that integrate internal proprietary data with external premium content.

📋 Description

• Help set the architecture and roadmap for the Data Platform and its storage ecosystem • Build capabilities for large-scale data migrations across cells, regions, and geographies • Develop tooling to move, split, validate, and roll back data with minimal downtime • Enable product teams to provision, operate, and scale their own storage through self-service tools • Drive data-layer changes for cell-based architecture, including data placement, tenant routing, replication, and isolation • Define and apply a managed-first approach to data services • Identify and close scalability gaps in data stores across regions, cells, and deployment models • Build shared libraries providing self-service storage capabilities • Partner closely with Cloud Platform, SRE, and DevEx teams • Raise the architectural bar and mentor Staff and Senior engineers • Apply AI tooling to data platform work, including slow query reviews and incident diagnosis

🎯 Requirements

• Deep hands-on experience designing and operating data platforms and storage systems • Production large-scale experience with storages such as MongoDB, ClickHouse, Redis, and PostgreSQL • Cloud-native data storage experience, including managed data services on AWS • Strong background in Kubernetes and containers • Track record of designing and running large-scale data migrations, including live migrations • Experience with cell-based, multi-tenant, or multi-region architectures • Experience building platforms and tooling used by other engineers • Comfort with engineers owning their storage and running what they build • Demonstrated ability to land significant changes in code owned by other teams • Record of identifying data scalability and reliability limits before incidents occur • Ability and desire to design, lead, influence, and deliver ambitious technical roadmaps • Experience running storage systems on Kubernetes (nice to have) • Experience building control planes with Crossplane (nice to have) • Experience with private, isolated, on-premises, or air-gapped deployments (nice to have)

🏖️ Benefits

• Performance-based bonus • Equity • Generous benefits program • Equal-opportunity employment • Reasonable accommodation for qualified employees with protected disabilities

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