Dropbox
Senior Manager, Data Engineering
Remote - Canada: Select locations · Senior
Sponsorship not specifiedDetected 2 days ago
Code ReviewBigQuerySnowflakeDatabricksCI/CDSparkAirflowdbtData EngineeringData ScienceLLMsIncident ResponseStakeholder ManagementPerformance ManagementLeadershipCommunicationMentoring
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odds of building a lasting career here
40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →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
- Our Engineering Career Framework is viewable by anyone outside the company and describes what's expected for our engineers at each of our career levels.
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.
- 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 <span c
Skills
- Role Description
- Check out our blog post on this topic and more here.
- 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.
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This listing is sourced directly from Dropbox's careers page and normalized into a canonical job model.