Data Engineer III

🏢 Summary: Partner Engineer role owning the technical relationship and joint product roadmap between Databricks and Microsoft Azure. The position drives cross-company engineering integrations, resolves dependencies, develops reference architectures, and enables field teams on Azure–Databricks solutions. 🗂️ Requirements: 10+ years in cloud solution architecture, partner engineering, or technical program management, Deep expertise in Microsoft Azure services and architecture patterns, Experience managing strategic technical partnerships with VP/C-level stakeholders, Hands-on ability to prototype integrations, debug complex issues, and validate technical feasibility, Experience with Python, SQL, infrastructure-as-code, and API integrations, Ability to manage complex multi-company engineering initiatives and drive consensus, Deep knowledge of the Databricks platform and Microsoft data/AI ecosystem, Strong technical communication and influence across product, engineering, and partner teams 📃 Skills: Azure, Databricks, Python, SQL, APIs, Infrastructure-as-code 🏢 Description: RDQ427R371 At Databricks , we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. About the Role We're seeking a Partner Engineer to own the technical relationship between Databricks Product/Engineering and Microsoft Azure. You will be the primary technical liaison managing our cross product roadmap, driving engineering integrations, and ensuring Databricks products work seamlessly within the Azure ecosystem. You will work directly with Azure Partner SAs, Product Managers, and engineering teams to align roadmaps, identify integration gaps, and accelerate feature delivery. This role reports to the Director of Partner Engineering and works closely with Databricks Product Management, Engineering, and Field teams. Impact you will have Own the Databricks-Azure product-to-cloud technical roadmap, serving as the primary interface between Databricks Product Management and Azure partner teams to ensure alignment on features, integrations, and co-innovation priorities. Track and drive resolution of cross-company dependencies and blockers, manage joint milestone timing with Azure teams, and own the coordination rhythms (recurring syncs, escalation paths) that keep both sides aligned through delivery. Drive engineering integration work between Databricks and Azure product teams coordinating cross-company technical initiatives from scoping through delivery. Create and maintain technical architecture artifacts showing "better together" integration patterns, holistic architecture diagrams, and reference implementations for Azure + Databricks solutions. Enable field teams with technical guidance on Azure-Databricks integration patterns, working with Solution Architects and Customer Success to accelerate Azure customer wins. What we’re looking for 10+ years of experience in cloud solution architecture, partner engineering, or technical program management roles, with deep expertise in Microsoft Azure services and architecture patterns. Proven experience managing strategic technical partnerships at VP/C-level, with ability to navigate complex multi-company engineering initiatives and drive consensus across organizations. Hands-on technical skills with ability to prototype integrations, debug complex issues, and validate technical feasibility of proposed solutions. Experience with Python, SQL, infrastructure-as-code, and API integration patterns. Demonstrated ability to manage high-stakes partner relationships where strategic interests diverge, including setting boundaries and managing expectations while preserving long-term partnership health. Deep knowledge of Databricks platform and Microsoft data/AI ecosystem Excellent communication and influence skills, with ability to translate technical requirements between Product Management, Engineering, and external partner teams. Preferred Prior experience in Partner Solutions Architect or Alliance Engineering roles at cloud providers (AWS, Azure, GCP) or major ISVs. Background working at or with Microsoft - understanding of Microsoft field organization, partner program structure, and decision-making processes. History of driving product-to-product integrations between major platforms. Familiarity with modern development workflows and AI-assisted development tools (Cursor, Claude Code, Codex). Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 1 Pay Range $150,200 — $206,450 USD Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Zone 2 Pay Range $150,200 — $206,450 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram . Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Applicant Privacy Notice

🏢 Summary: Lead the data science strategy and production delivery for an advertising marketplace across onsite and offsite channels. The role manages scientists building ranking, bidding, budget, ROAS, and GenAI systems while partnering with Product and Engineering to improve shopper relevance, advertiser outcomes, and revenue. 🗂️ Requirements: Advanced quantitative degree or 10+ years leading large-scale ML/optimization systems, Leadership of data science or applied science teams, End-to-end production science delivery experience, Large-scale ranking and prediction ML expertise, Advertising supply- and demand-side optimization experience, Production LLM or generative AI implementation experience, Mathematics, statistics, causal measurement, and experimentation expertise, Distributed training and serving pipeline experience, Senior executive and cross-functional communication skills 📃 Skills: MachineLearning, DeepLearning, Embeddings, Retrieval, Ranking, Optimization, Experimentation, MLOps, Auctions, Bidding, Pacing, ROAS, LLMs, GenAI, RAG, Statistics, CausalInference, AWS, SageMaker 🏢 Description: Job Description At Chewy, we believe great work starts with great people. Our mission is to be the most trusted and convenient destination for pet parents and partners everywhere. Advertising is a core growth engine for Chewy—and science is how we make it smarter for shoppers, brands, and the business. Your Opportunity We are hiring a Director, Data Science to own and lead all Ads Data Science for Chewy—fully accountable for the science strategy and production implementation behind Chewy’s onsite and offsite Chewy Ads. You will lead a team of data scientists building the intelligence layer across the full advertising marketplace: (a) Supply-side algorithms — search, relevance, ranking, real-time bidding, bid-boosting, premium positioning, and dynamic auctions. (b) Demand-side algorithms — budgeting, pacing, budget allocation/reallocation, keyword recommendations, bid recommendations, campaign setup and auto-optimization, and advertiser ROAS optimization. (c) Portfolio management — orchestrating Chewy’s onsite and offsite Ads portfolio for optimal, balanced performance across shopper experience, advertiser outcomes, and Chewy revenue. This is a rare seat: you will define how modern AI—LLMs, generative AI, foundation models, and multimodal systems—shows up in a real advertising marketplace, not as demos, but as durable production systems that move customer and advertiser outcomes at scale. As a core member of Ads leadership, you’ll partner closely with Product, Engineering, and business partners, and represent Ads science to Chewy senior leadership. What You’ll Own Full ownership of Chewy Ads Data Science across onsite and offsite channels—strategy, roadmap, model portfolio, delivery, and scientific quality bar. Lead, grow, and mentor a high-performing team of data scientists; set standards for modeling, experimentation, MLOps, and research-to-production excellence. Advance state-of-the-art applied science across the three pillars above: embeddings and representation learning, CTR/CVR prediction, multi-objective ranking, auction and bidding dynamics, budget optimization, ROAS optimization, causal measurement, and marketplace balance. Define and execute Chewy Ads’ AI / GenAI strategy, including LLM-powered workstreams such as: Generative creative and offer assistance Intelligent keyword and query recommendation Bid recommendation and automated bidding guidance Auto-campaign setup and optimization copilots for advertisers Retrieval-augmented systems for relevance, discovery, and ranking quality Partner with Product and Engineering to ship production systems that improve shopper relevance, advertiser ROI/ROAS, and Ads business performance. Establish rigorous experimentation and decision frameworks so science investments map clearly to customer and revenue impact. Represent Ads science to senior leadership—translating complex work into clear strategy, tradeoffs, and recommendations. Raise Chewy’s external scientific presence through publications, talks, and recruiting at leading ML/AI/advertising venues (encouraged, not required). What You’ll Need Advanced degree (M.S., PhD, or equivalent experience) in a quantitative field (e.g., CS, ML, Statistics, OR, Applied Math, Data Science), or 10+ years building and leading large-scale ML/optimization systems. Proven experience leading data scientists / applied scientists and owning end-to-end science delivery in production—ideally in ads, search, recommendations, personalization, or marketplace systems. Deep hands-on fluency with modern ML for ranking and prediction at scale: deep learning, embeddings, retrieval, multi-objective optimization, and online experimentation. Experience with advertising optimization systems spanning supply and demand—auctions, real-time bidding, pacing, budget allocation, keyword/bid recommendations, auto-campaign optimization, and ROAS optimization under real-time, constrained-spend settings. Demonstrated experience productizing LLMs / generative AI in real systems (e.g., RAG, agentic workflows, evaluation harnesses, quality/safety controls)—ideally in ads, search, or ecommerce. Strong foundation in mathematics, statistics, and scientific method; a high bar for model quality, causal measurement, and production reliability. Experience operating distributed training/serving pipelines and partnering with Engineering on scalable deployment. Exceptional communication: able to influence senior executives and cross-functional partners with clarity and technical credibility. Nice to Have Direct experience in digital advertising / retail media / sponsored products. Ecommerce or retail marketplace experience. Experience with cloud ML platforms (e.g., AWS SageMaker or equivalent) and modern GenAI tooling. Track record of hiring and developing senior scientific talent. What You’ll Get Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law and you need an accommodation during the application process or to perform these job requirements, please contact CAAR@chewy.com. Chewy offers a comprehensive benefits package including medical, dental, vision, life and disability insurance, 401(k) with company matching, paid time off, employee discounts, and additional wellness and support programs designed to help Team Members thrive personally and professionally. The base salary range for this role is $198,500 - $300,000.00. The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus. We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations. Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.