Engineering Manager, Company Data - Grata

Datasite
New York
Workplace: HybridFull timeUSD 141,000 - 248,000 annuallyFunction: Software EngineeringSkills: ["Leadership","Ownership","Collaboration","Communication","Delegation"]

Lead an engineering team responsible for a Data Product Pillar that builds, enriches, validates, and serves Grata’s proprietary private-company datasets. Own both delivery and people leadership while partnering with Product, Data, AI, Design, and customer-facing stakeholders. Drive improvements in data freshness, coverage, quality, performance, and observability, translate technical vision into measurable execution plans, and guide architectural evolution and long-term platform health.

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FursaFursa
Datasite
Datasite
2 months ago

Engineering Manager, Company Data - Grata

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 days agoStatus: Live

Job Summary

Lead an engineering team responsible for a Data Product Pillar that builds, enriches, validates, and serves Grata’s proprietary private-company datasets. Own both delivery and people leadership while partnering with Product, Data, AI, Design, and customer-facing stakeholders. Drive improvements in data freshness, coverage, quality, performance, and observability, translate technical vision into measurable execution plans, and guide architectural evolution and long-term platform health.
Location: New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Manager level

Key Responsibilities

  • •Own outcomes for successful data and product deliveries, including data coverage, freshness, quality, system performance, and commercial impact.
  • •Coach engineers on growth plans and promotions using established engineering pathways while establishing healthy team practices.
  • •Represent Engineering in cross-functional planning and ceremonies with Product, Data, AI, Design, Data Operations, and customer-facing stakeholders.
  • •Balance near-term delivery with long-term technical health by managing data platform debt, schema evolution, pipeline reliability, and operational risk.
  • •Translate product/data/technical vision into clear execution plans with measurable outcomes, teaching effective delegation in an AI-enabled engineering environment.

Pay and Benefits

Salary: USD 141,000 - 248,000 annually
Perks:Health InsuranceRetirement SavingsPaid Leave

Key Requirements

  • •Experience leading engineering teams building data-intensive products or data platform capabilities at scale.
  • •Strong comfort with Python and SQL and backend services; guide full-stack/API work when data capabilities surface in the product.
  • •Design and operate ETL/ELT pipelines, data quality systems, and queue-based, event-driven, or asynchronous workflows.
  • •Strong grasp of data modeling, entity resolution, schema evolution, reliability, observability, architectural patterns, and engineering trade-offs.
  • •Proficiency with AI-driven and agentic coding workflows, including delegating work to engineers and parallel agents and verifying output quality.
Experience:Data engineeringData platformsAI-enabled automationPrivate markets
Skills:LeadershipOwnershipCollaborationCommunicationDelegation
Tech Stack:PythonSQLETLELTBackend servicesFull-stackAPIEvent-driven workflowsAsynchronous workflowsData modelingEntity resolutionSchema evolutionObservabilityDatabricksSparkKafkaPulsarElasticsearchOpenSearchGraph databases

Company Brief

Datasite
Provides board reporting and meeting-management SaaS that streamlines preparation, collaboration and follow-up for executive and board meetings, delivering secure workflows and AI-powered insights to improve decision-making for large organisations.
Industry: Enterprise Software
Company Size: Medium (51 to 250 employees)
Growth: Established Company
Funding: Series B
Headquarters: Zurich, Switzerland
Founded: 2011
Glassdoor
Glassdoor: 4.4
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