Staff Data Engineer Analytics Data Engineering Remote - Canada Select locations
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Role Description Dropbox is looking for a Staff Data Engineer to join our Analytics Data Engineering ADE team within Data Science & AI Platform. You will be responsible for solving cross-cutting data challenges that span multiple lines of business while driving standardization in how we build deploy and govern analytics pipelines across Dropbox. This is not a maintenance role. We are modernizing our analytics platform upgrading orchestration infrastructure building shared and reusable data models with conformed dimensions establishing a certified metrics framework and laying the foundation for AI-native data development. You will partner closely with Data Science Data Infrastructure Product Engineering and Business Intelligence teams to make this happen. You will play a crucial role in establishing analytics engineering standards designing scalable data models and driving cross-functional alignment on data governance. You will get substantial exposure to senior leadership shape the technical direction of analytics infrastructure at Dropbox and directly influence how data powers product and business decisions.
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Responsibilities Lead the design and implementation of shared reusable data models defining shared fact tables conformed dimensions and a semantic metrics layer that serves as the single source of truth across analytics functions Drive standardization of data engineering practices across ADE and functional analytics teams including pipeline patterns CICD workflows naming conventions and data modeling standards Partner with Data Infrastructure to modernize orchestration improve pipeline decomposition and establish secure devtest environments with production data access Architect and implement a shift-left data governance strategy working with upstream data producers to establish data contracts SLOs and code-enforced quality gates that catch issues before production Collaborate with Data Science leads and Product Management to translate metric definitions into reliable certified data pipelines that power executive dashboards WBR reporting and growth measurement Reduce operational burden by improving pipeline granularity observability and failure recovery establishing runbooks and alerting standards that make on-call sustainable Evaluate and integrate AI-native tooling into the data development lifecycle enabling conversational data exploration with guardrails and AI-assisted pipeline development
Many teams at Dropbox run Services with on-call rotations which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.
Requirements BS degree in Computer Science or related technical field or equivalent technical experience 12 years of experience in data engineering or analytics engineering with increasing scope and technical leadership 12 years of SQL experience including complex analytical queries window functions and performance optimization at scale Spark SQL 8 years of Python development experience including building and maintaining production data pipelines Deep expertise in dimensional data modeling schema design and scalable data architecture with hands-on experience building shared data models across multiple business domains Strong experience with orchestration tools Airflow strongly preferred and dbt including pipeline design scheduling strategies and failure recovery patterns Demonstrated ability to drive cross-team technical alignment establishing standards influencing without authority and working across Data Engineering Data Science Data Infrastructure and Product Engineering boundaries
Preferred Qualifications Experience with Databricks Unity Catalog Delta Lake and modern lakehouse architectures Experience leading orchestration or platform modernization efforts at scale Familiarity with data governance and observability tools such as Atlan Monte Carlo Great Expectations or similar Experience building or contributing to a metrics semantic layer dbt MetricFlow Databricks Metric Views or equivalent Track record of establishing data engineering standards and best practices in a federated analytics organization
Compensation Canada Pay Range 204000-276000 CAD The range listed above is the expected annual salary OTE On-Target Earnings for this role subject to change SalaryOTE is just one component of Dropboxs total rewards package. All regular employees are also eligible for the corporate bonus program or a sales incentive target included in OTE as well as stock in the form of Restricted Stock Units RSUs Read more about our benefits here
Company Description Dropbox isnt just a workplace-its a living lab for designing a more enlightened way of working. Were a global community of bold visionaries and resourceful doers shaping the future of Dropbox and in turn the future of work. Our Virtual First model combines the autonomy of a distributed workplace with the power of human connection creating space for meaningful work and lasting relationships. With a startup mindset and enterprise-level opportunities we expect Dropbox employees to think critically stay curious and use modern tools including AI to improve how work gets done. Here you can be who you are and grow into who youre meant to be. You own your impact helping make work more intuitive joyful and human for yourself and hundreds of millions of people worldwide. If youre ready to push boundaries and challenge yourself Dropbox is ready for you
Team Description The Dropbox Engineering Team develops the technology platforms and products that create more enlightened ways of working for hundreds of millions of people. Customers rely on Dropbox to manage share and collaborate on content seamlessly-our engineering makes that easier and more intuitive than ever before. Our platform features a robust systems software layer that stores and processes exabytes of data and a suite of growing services that enhance core products like our sharing and sync engine. Were also driving innovation with new offerings such as Dash our AI-powered knowledge management engine. Our infrastructure spans high-performance servers and cutting-edge components across multiple data centers worldwide ensuring reliability speed and scalability at a global scale. We think like a startup but build for an enterprise exploring new possibilities that transform how people work. If youre excited about turning complex technical challenges into intuitive solutions at scale join our Engineering team
Virtual First Dropboxs Virtual First way of working is designed to help people do their best work with flexibility autonomy and connection. Day to day teams work remotely with nonlinear schedules and core collaboration hours that support deep focus and individual working styles. We prioritize asynchronous communication to improve clarity respect deep work time and reduce unnecessary meetings. While remote work is the primary experience for our employees we also prioritize intentional in-person connection. We bring teams together through regular team gatherings on-demand workspaces and Dropbox Neighborhood events in order to strengthen team cohesion foster creativity and enhance momentum. Virtual First is built to provide the same access to opportunity growth and impact for everyone regardless of location
This role requires travel to offsites and various other team gatherings approximately 5-10 of the year or 2-3 days per quarter. We provide advance notice when possible and encourage candidates to discuss any accommodation needs during the interview process
Dropbox supports responsible use of AI for preparation but misrepresentation of skills or experience is not permitted. See our AI Principles
Dropbox is an equal opportunity employer. We are a welcoming place for everyone and we do our best to make sure all people feel supported and connected at work. Read More
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