Staff Data Engineer, Analytics Data Engineering

<h2>Role Description</h2> <p><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8">Dropbox is looking for a Staff Data Engineer to join our Analytics Data Engineering</span> <span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8 h-lparen">(ADE)</span><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8"> team within Data Science &amp; 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.</span></p> <p><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8">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.</span></p> <p><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8">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.</span></p> <p><span class=" author-d-iz88z86z86za0dz67zz78zz78zz74zz68zjz80zz71z9iz90z95lz89zy6z71zz79zz84zz68zyz69zupz72zz79zcz69zz76zkz79zp1z66ztz67zxz71zz89zz86zz71z">Our Engineering Career Framework is </span><span class="attrlink url author-d-iz88z86z86za0dz67zz78zz78zz74zz68zjz80zz71z9iz90z95lz89zy6z71zz79zz84zz68zyz69zupz72zz79zcz69zz76zkz79zp1z66ztz67zxz71zz89zz86zz71z"><a class="attrlink" href="https://dropbox.github.io/dbx-career-framework/" target="_blank" data-target-href="https://dropbox.github.io/dbx-career-framework/"><u>viewable by anyone outside the company</u></a></span><span class=" author-d-iz88z86z86za0dz67zz78zz78zz74zz68zjz80zz71z9iz90z95lz89zy6z71zz79zz84zz68zyz69zupz72zz79zcz69zz76zkz79zp1z66ztz67zxz71zz89zz86zz71z"> and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more </span><span class="attrlink url author-d-iz88z86z86za0dz67zz78zz78zz74zz68zjz80zz71z9iz90z95lz89zy6z71zz79zz84zz68zyz69zupz72zz79zcz69zz76zkz79zp1z66ztz67zxz71zz89zz86zz71z"><a class="attrlink" href="https://dropbox.tech/culture/sharing-our-engineering-career-framework-with-the-world" target="_blank" data-target-href="https://dropbox.tech/culture/sharing-our-engineering-career-framework-with-the-world">here</a></span><span class=" author-d-iz88z86z86za0dz67zz78zz78zz74zz68zjz80zz71z9iz90z95lz89zy6z71zz79zz84zz68zyz69zupz72zz79zcz69zz76zkz79zp1z66ztz67zxz71zz89zz86zz71z">.</span></p> <h2>Responsibilities</h2> <ul> <li><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8">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</span></li> <li><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8">Drive standardization of data engineering practices across ADE and functional analytics teams, including pipeline patterns, CI/CD workflows, naming conventions, and data modeling standards</span></li> <li><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8">Partner with Data Infrastructure to modernize orchestration, improve pipeline decomposition, and establish secure dev/test environments with production data access</span></li> <li><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8">Architect and implement a shift-left data governance strategy, &nbsp;working with upstream data producers to establish data contracts, SLOs, and code-enforced quality gates that catch issues before production</span></li> <li><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8">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</span></li> <li><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8">Reduce operational burden by improving pipeline granularity, observability, and failure recovery, establishing runbooks and alerting standards that make on-call sustainable</span></li> <li><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8">Evaluate and integrate AI-native tooling into the data development lifecycle, enabling conversational data exploration with guardrails and AI-assisted pipeline development</span></li> </ul> <p><span class="thread-348589118974529206372994 attrcomment attrcommentfirst thread-348589118974529206372994-first author-d-iz88z86z86za0dz67zz78zz78zz74zz68zjz80zz71z9iz90z95lz89zy6z71zz79zz84zz68zyz69zupz72zz79zcz69zz76zkz79zp1z66ztz67zxz71zz89zz86zz71z"><span class=" author-d-iz88z86z86za0dz67zz78zz78zz74zz68zjz80zz71z9iz90z9z84zyz72zz70zz71zz72zhwl8r6xz85zr3z69z6z86zz78zz76zcfvdsgm4t">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.</span></span></p> <h2>Requirements</h2> <ul> <li><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8">BS degree in Computer Science or related technical field, or equivalent technical experience</span></li> <li><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8">1</span><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qowz81zz86z7z65z8z79ztz77ziz87zz74z8p95dob7z122zz72zz89zz78zz72zz68zz79zz77zjqz67zz67z">2</span><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8">+ years of experience in data engineering or analytics engineering with increasing scope and technical leadership</span></li> <li><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8">1</span><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qowz81zz86z7z65z8z79ztz77ziz87zz74z8p95dob7z122zz72zz89zz78zz72zz68zz79zz77zjqz67zz67z">2</span><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8">+ years of SQL experience, including complex analytical queries, window functions, and performance optimization at scale</span> <span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8 h-lparen">(Spark</span><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8"> SQL)</span></li> <li><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8">8+ years of Python development experience, including building and maintaining production data pipelines</span></li> <li><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8">Deep expertise in dimensional data modeling, schema design, and scalable data architecture, with hands-on experience building shared data models across multiple business domains</span></li> <li><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8">Strong experience with orchestration tools</span> <span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8 h-lparen">(Airflow</span><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8"> strongly preferred) and dbt, including pipeline design, scheduling strategies, and failure recovery patterns</span></li> <li><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8">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</span></li> </ul> <h2>Preferred Qualifications</h2> <ul> <li><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8">Experience with Databricks</span> <span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8 h-lparen">(Unity</span><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8"> Catalog, Delta Lake) and modern lakehouse architectures</span></li> <li><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8">Experience leading orchestration or platform modernization efforts at scale</span></li> <li><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8">Familiarity with data governance and observability tools such as Atlan, Monte Carlo, Great Expectations, or similar</span></li> <li><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8">Experience building or contributing to a metrics/semantic layer</span> <span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8 h-lparen">(dbt</span><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8"> MetricFlow, Databricks Metric Views, or equivalent)</span></li> <li><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qovwiyz82zz65zz72zz78zz122zz89z1y9z85zz71zz78zxz67zymxl9z74zz73z9vlz78zmg8">Track record of establishing data engineering standards and best practices in a federated analytics organization</span></li> </ul> <h2 data-usually-unique-id="044234883370604133046166"><span class=" author-d-1gg9uz65z1iz85zgdz68zmqkz84zo2qowz81zqz90zkz74zz76zeez80zz68zz89zz88zvqz86zuxlz73zexxz80zz73z6d6z72zz79zsz77z">Compensation</span></h2><div class="content-pay-transparency"><div class="pay-input"><div class="title">Canada Pay Range</div><div class="pay-range"><span>$204,000</span><span class="divider">&mdash;</span><span>$276,000 CAD</span></div></div></div>