Dropbox

Dropbox

Senior Manager, Data Engineering

Remote - US: Select locations · Senior

Sponsorship not specifiedDetected 2 days ago
Code ReviewBigQuerySnowflakeDatabricksCI/CDSparkAirflowdbtData EngineeringData ScienceLLMsIncident ResponseStakeholder ManagementPerformance ManagementLeadershipCommunicationMentoringAdaptability

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Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card follow-through: 50%

Of 10 labor certifications old enough to have been used, 5 expired without the employer filing the next step. Median time from filing to decision: 497 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

15 transfer filings in the last year, covering 15 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • We are seeking a Senior Manager, Data Engineering to lead the team responsible for Dropbox's underlying data foundations that power our business as a whole. This is a hands-on engineering leader who owns the pipelines and data products that Product, GTM, Finance, and the CTO organization depend on to make decisions.
  • In this role, you will lead and grow a team of data engineers building and operating our ingestion, transformation, orchestration, and serving layers, as well as the self-serve analytics substrate that lets partner teams answer their own questions without bespoke engineering work.

Responsibilities

  • Self-Serve Platform: Lead the engineering of the self-serve analytics substrate, reducing bespoke request volume and increasing partner-team autonomy.
  • Cost & Efficiency: Own the unit economics of the data platform - compute and storage efficiency - and drive measurable improvements without sacrificing reliability.
  • Cross-Functional Partnership: Partner deeply with Data Science, BIE, Analytics, Product, Data Platform, and the CTO org to define the semantic layer, modeling standards, and data contracts that make downstream work trustworthy and fast.
  • This is a hands-on engineering leader who owns the pipelines and data products that Product, GTM, Finance, and the CTO organization depend on to make decisions.
  • In this role, you will lead and grow a team of data engineers building and operating our ingestion, transformation, orchestration, and serving layers, as well as the self-serve analytics substrate that lets partner teams answer their own questions without bespoke engineering work.
  • Lead the engineering of the self-serve analytics substrate, reducing bespoke request volume and increasing partner-team autonomy.
  • Own the unit economics of the data platform - compute and storage efficiency - and drive measurable improvements without sacrificing reliability.
  • Partner deeply with Data Science, BIE, Analytics, Product, Data Platform, and the CTO org to define the semantic layer, modeling standards, and data contracts that make downstream work trustworthy and fast.

Requirements

  • 8+ years of data engineering or backend/data infrastructure experience with increasing scope, ideally in high-scale environments.
  • 3+ years of experience directly managing and growing engineering teams, including hiring, coaching, performance management, and team design.

Nice to have

  • AI-Forward Engineering: Experience integrating AI coding tools and LLM-based tooling into the engineering workflow, with a measured approach to impact and guardrails.
  • Cost Discipline: Demonstrated success improving compute/storage unit economics without regressing reliability.
  • Familiarity with modern data governance, privacy, and access-control practices.
  • AI fluency means using these tools to amplify human judgment, not replace it.
  • We believe people with these skills will thrive as work and technology continue to evolve:
  • Awareness: U nderstand yourself and others.
  • Judgment: E valuat e information and mak e decisions in complex situations.
  • Adaptability: L earn, adjust, and stay effective through change.

Skills

  • Durable Skills AI fluency means using these tools to amplify human judgment, not replace it.

Benefits

  • Team Leadership: Lead, mentor, and grow a high-talent-density team of data engineers, fostering a culture of ownership, technical excellence, psychological safety, and continuous learning.

Company info

  • We are seeking a Senior Manager, Data Engineering to lead the team responsible for Dropbox's underlying data foundations that power our business as a whole.
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This listing is sourced directly from Dropbox's careers page and normalized into a canonical job model.