dbt Labs

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As a Solutions Architect, you will guide prospective customers in understanding the value of dbt Cloud by leading technical discussions, identifying data challenges, and demonstrating solutions through live demos and workshops. You will also collaborate with Account Executives, maintain technical relationships, and contribute to internal process improvements, acting as the voice of the customer to ensure product development aligns with user needs and delights them.

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About Usdbt Labs is the pioneer of analytics engineering, helping data teams transform raw data into reliable, actionable insights. Since 2016, we’ve grown from an open source project into the leading analytics engineering platform, now used by over 50,000 teams every week.As of February 2025, we’ve surpassed $100 million in annual recurring revenue (ARR) and serve more than 5,400 dbt Cloud customers, including JetBlue, HubSpot, Vodafone New Zealand, and Dunelm. We’re backed by top-tier investors including Andreessen Horowitz, Sequoia Capital, and Altimeter. At our core, we believe in empowering data practitioners:<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Code-based data transformations unlock transparency, flexibility, and collaboration</li><li class="leading-relaxed">Analysts should adopt software engineering best practices to build trusted data products</li><li class="leading-relaxed">Core analytics infrastructure should be open source and user-controlled</li><li class="leading-relaxed">Analytic code—not just tools—should be shared and community-driven</li></ul>dbt is now synonymous with analytics engineering, defining the modern data stack and serving as the data control plane for enterprise teams around the world. And we’re just getting started. We’re growing fast and building a team of passionate, curious people across the globe. Learn more about what makes us special by checking out our <a href="https://www.getdbt.com/about-us/values" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">values</a>.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">About the Role</h3>As a Solutions Architect (SA), your role is to help prospects understand the value that dbt Cloud can bring to their organization. You’ll lead technical discussions with prospective customers, uncover their data challenges, and demonstrate how dbt Cloud can meet their needs through live demos and technical workshops.Internally, you’ll contribute to building and refining our processes and playbooks, while acting as the voice of the customer to ensure we continue developing products that solve real problems and delight our customers.This role is based in Austin, with an expectation of being in the office two days per week.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What You’ll Do</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Spend the majority of your time on pre-sales opportunities to understand customer use cases and identify the value dbt Cloud can bring to their organization</li><li class="leading-relaxed">Consult with potential customers to uncover their data challenges and highlight how dbt Cloud can alleviate pain points and support their goals</li><li class="leading-relaxed">Own the demonstration of technical and business impact by delivering tailored demos of dbt Cloud and providing expert guidance</li><li class="leading-relaxed">Collaborate closely with Account Executives, building strong, trust-based relationships and offering strategic input throughout the deal process</li><li class="leading-relaxed">Maintain ongoing relationships with technical stakeholders within your accounts</li><li class="leading-relaxed">Partner with internal teams to improve how we work together, represent the voice of the customer in product discussions, and contribute to cross-functional initiatives</li><li class="leading-relaxed">Participate in our knowledge-sharing loop by helping improve team processes, refining assets, and enabling others through collaboration</li><li class="leading-relaxed">Create and deliver external-facing content through live events, blog posts, recorded tutorials, or other educational resources</li></ul>Pre-Sales Opportunities - 70%<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Consult with potential customers to understand their data challenges and identify opportunities for dbt Cloud to alleviate their pain and help them achieve their goals</li><li class="leading-relaxed">Own the technical aspects of a sales opportunity, providing technical expertise and delivering demos of dbt Cloud tailored to the unique needs of potential customers</li><li class="leading-relaxed">Collaborate closely with your Account Executives, building strong trust-based relationships and providing strategic input on deal processes</li></ul>Post-Sales Account Management - 20%<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Maintain ongoing relationships with technical contacts in your accounts</li><li class="leading-relaxed">Identify opportunities for expansion in larger accounts and flag risks in accounts that may churn or contract</li></ul>Company Involvement - 10%<ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Participate in the knowledge loop helping to improve our processes and assets and enabling others on the team</li><li class="leading-relaxed">Create and deliver external facing content through live events, blog posts, recorded tutorials, or other content</li><li class="leading-relaxed">Act as the voice of the customer to ensure that product and engineering receive customer feedback and prioritize product improvements that our customers will value</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What You’ll Need</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">4+ years of experience as a data practitioner or consultant in data operations or analytics</li><li class="leading-relaxed">Strong technical foundation, with a solid understanding of modern data warehousing architectures, the modern data stack, and proficiency in SQL</li><li class="leading-relaxed">Prior experience with dbt is preferred; bonus points for dbt certification</li><li class="leading-relaxed">Experience working asynchronously as part of a partially remote, distributed team</li><li class="leading-relaxed">High degree of comfort presenting to diverse stakeholders or audiences, ideally in an externally facing role</li><li class="leading-relaxed">Ability to operate effectively in ambiguous, fast-paced environments and think on your feet during customer conversations</li><li class="leading-relaxed">Desire to be a strong team player—both within the SA team as we evolve our ways of working, and in daily collaboration with Account Executives as part of a deal team</li><li class="leading-relaxed">Openness to travel; we value the power of in-person relationship building, both internally and externally, and expect willingness to travel to events as needed</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What Will Make You Stand Out</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Prior dbt experience, bonus points for dbt certification</li><li class="leading-relaxed">Basic python competency and advanced SQL knowledge</li><li class="leading-relaxed">Proven experience in a pre-sales tech role</li><li class="leading-relaxed">Experience with traditional ETL tooling</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Remote Hiring Process</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Interview with a Talent Acquisition Partner</li><li class="leading-relaxed">Hiring Manager Interview</li><li class="leading-relaxed">Technical Screen</li><li class="leading-relaxed">Team Interviews with a demo</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Benefits</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Unlimited vacation time with a culture that actively encourages time off</li><li class="leading-relaxed">401k plan with 3% guaranteed company contribution</li><li class="leading-relaxed">Comprehensive healthcare coverage</li><li class="leading-relaxed">Generous paid parental leave</li><li class="leading-relaxed">Flexible stipends for:</li><li class="leading-relaxed">Health & Wellness</li><li class="leading-relaxed">Home Office Setup</li><li class="leading-relaxed">Cell Phone & Internet</li><li class="leading-relaxed">Learning & Development</li><li class="leading-relaxed">Office Space</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">Compensation</h3>We offer competitive compensation packages commensurate with experience, including salary, RSUs, and where applicable, performance-based pay. Our Talent Acquisition Team can answer questions around dbt Lab’s total rewards during your interview process.If you are excited about this role and know that you could get there, but don’t have 100% of the qualifications listed above, please still apply! We value diverse perspectives and want to build the best team we can, and acknowledge that sometimes the right people won’t check every box on a list.dbt Labs is an equal opportunity employer, committed to building an inclusive team that welcomes diverse perspectives, backgrounds, and experiences. Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.Want to learn more about our focus on Diversity, Equity and Inclusion at dbt Labs? Check out our DEI <a href="https://www.getdbt.com/about-us/dei" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">page</a>.dbt Labs reserves the right to amend or withdraw the posting at any time. For employees outside the United States, dbt Labs offers a competitive benefits package. RSUs or comparable benefits may be offered depending on the legal or country limitations.<a href="https://docs.google.com/document/d/1Dgq_fXPQdZNFl70lKn-ige95Z0TGchbIlXwQZTIRM/edit?usp=sharing" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Privacy Notice</a><a href="https://docs.google.com/document/d/1y9NaXKV-5-E7-y4L8TX6MoN9oWU6RurPCqGcE3fuc/edit?usp=sharing" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Supplement to Privacy Notice - Californians</a><a href="https://docs.google.com/document/d/1AJldMKsc70GsxdbOcQmche-ciHQuC6E1aCW-60E3Enc/edit?usp=sharing" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Supplement to Privacy Notice - EEA/UK</a>Create a Job AlertInterested in building your career at dbt Labs? Get future opportunities sent straight to your email.<a href="https://my.greenhouse.io/users/signin?jobboard=dbtlabsinc&source=jobalertpost" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">Create alert</a>

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Electronic Arts is seeking a Data Scientist I to join their Data & Insights team in Hyderabad, India. This hybrid role involves performing data exploration, mining, and feature engineering to build high-quality datasets. The Data Scientist will apply machine learning and statistical modeling to generate actionable business insights, ensuring data integrity and governance. Key responsibilities include building, training, validating, and deploying scalable ML models, implementing MLOps best practices, and utilizing Python, SQL, and distributed data processing frameworks. The role requires collaboration with cross-functional teams and staying updated on AI/ML advancements.

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<h1 class="text-3xl md:text-4xl font-extrabold mt-6 mb-4 text-gray-900 tracking-tight">General Information</h1>Locations: Hyderabad, Telangana, IndiaRole ID: 212222Worker Type: Regular EmployeeStudio/Department: CT - Data & InsightsWork Model: Hybrid<h1 class="text-3xl md:text-4xl font-extrabold mt-6 mb-4 text-gray-900 tracking-tight">Description & Requirements</h1>Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story. Part of a community that connects across the globe. A place where creativity thrives, new perspectives are invited, and ideas matter. A team where everyone makes play happen.Electronic Arts Inc. is a global leader in interactive entertainment. We develop games, content, and online services across platforms. We have a broad portfolio of brands that span the most popular genres.We exist to Inspire the World to Play. We create extraordinary new game experiences for our millions of players everywhere by bringing together experienced people that combine creativity, innovation, and passion. We celebrate diversity and inclusion and aim to create great experiences for our employees as often as our players. We're looking for people to come to the office or Zoom meeting excited to work and ready for some fun. The Data Science engineer will report to Sr Manager Engineering responsible for Data & Insights.Join us in driving the next revolution in games.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Responsibilities:</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Perform data exploration, mining, and feature engineering to create high-quality datasets for model development.</li><li class="leading-relaxed">Apply machine learning and statistical modeling techniques to build predictive and prescriptive models that generate actionable business insights.</li><li class="leading-relaxed">Ensure data integrity and governance through robust validation, preprocessing, and quality assurance processes.</li><li class="leading-relaxed">Analyze complex datasets to identify patterns, trends, and opportunities that drive data-informed business decisions.</li><li class="leading-relaxed">Build, train, validate, and deploy scalable machine learning models, ensuring optimal accuracy and performance.</li><li class="leading-relaxed">Implement MLOps best practices for model deployment, versioning, monitoring, and retraining across production environments.</li><li class="leading-relaxed">Utilize Python, SQL, and distributed data processing frameworks such as Spark, Snowflake, or Databricks to handle large-scale data workflows.</li><li class="leading-relaxed">Collaborate closely with cross-functional teams (Engineering, Product, and Business) to align models and insights with strategic goals.</li><li class="leading-relaxed">Evaluate and integrate cutting-edge AI/ML research, staying abreast of advancements in deep learning, transformers, and LLMs.</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Qualifications:</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Bachelor’s or master’s degree in computer science, Data Science, AI/ML, Statistics, or a related field (or equivalent professional experience).</li><li class="leading-relaxed">4+ years of experience in data science, analytics, or ML engineering with a strong record of deploying scalable ML solutions.</li><li class="leading-relaxed">4+ years of hands-on experience developing, deploying, and optimizing machine learning and deep learning models in production.</li><li class="leading-relaxed">Expert proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li class="leading-relaxed">Proven experience applying machine learning to time-series data for forecasting, anomaly detection, and pattern recognition.</li><li class="leading-relaxed">Strong familiarity with RNN, LSTM, and Transformer architectures, including self-attention mechanisms for sequence modeling.</li><li class="leading-relaxed">Experience in handling large-scale and high-dimensional datasets using distributed data processing tools (Spark, Snowflake, Databricks).</li><li class="leading-relaxed">Strong experience with ML deployment frameworks (MLflow, Kubeflow, SageMaker, Vertex AI).</li><li class="leading-relaxed">Expertise in feature engineering, model evaluation, and hyperparameter tuning.</li><li class="leading-relaxed">Solid understanding of statistical modeling, including probability distributions, regression analysis, and hypothesis testing.</li><li class="leading-relaxed">Proficiency in SQL for advanced data extraction, profiling, and performance tuning.</li><li class="leading-relaxed">Experience with cloud platforms (AWS, GCP, Azure) and modern data ecosystems.</li><li class="leading-relaxed">Knowledge of vector databases, NLP, and LLMs, including text annotation and information extraction, is an an added advantage.</li><li class="leading-relaxed">Strong communication skills with the ability to translate complex models into business impact.</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">About Electronic Arts</h2>We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. 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