Job Description
<p><b>D - Technical Architect</b></p>
<p><b>About Us</b></p>
<p>DataWeave is a cutting-edge SaaS-based digital commerce analytics platform that empowers</p>
<p>retailers with competitive intelligence and equips consumer brands with digital shelf analytics on</p>
<p>a global scale. By harnessing the power of DataWeave, retailers gain the ability to make smarter</p>
<p>pricing and merchandising decisions, while consumer brands can optimize their digital shelf</p>
<p>performance across key performance indicators such as share of search, content quality, price</p>
<p>competitiveness, and stock availability.</p>
<p>At the heart of DataWeave's capabilities lies its state-of-the-art AI-powered proprietary</p>
<p>technology, which aggregates and analyzes 500+ billion data points, covering over 400,000</p>
<p>brands, 4,000+ websites, and spanning across more than 20 industry verticals.</p>
<p>Our distinguished clientele includes some of the world's largest and most renowned retailers</p>
<p>and brands, among them Nordstrom, Overstock, The Home Depot, Mars, Bush Brothers,</p>
<p>Mondelez, Pernod Ricard, and many others.</p>
<p>We are a globally distributed team, composed of over 200 talented engineers, product</p>
<p>managers, and eCommerce experts located across San Francisco, Seattle, Austin, and Toronto</p>
<p>in North America, complemented by our technology-focused offices in Bangalore.</p>
<p><b>What Do We Offer?</b></p>
<p>●</p>
<p>Cutting-Edge Research & Applied ML Opportunities: Tackle some of the most challenging</p>
<p>problems in NLP, Computer Vision, and Large Language Models (LLMs). Experiment with</p>
<p>state-of-the-art algorithms and AI agents on massive text and image datasets. Your</p>
<p>work will shape the future of AI!</p>
<p>●</p>
<p>Immediate Impact: See the direct impact of your innovations on our customers. Your</p>
<p>contributions won’t just sit on a shelf—they’ll drive real-world change in</p>
<p>retail/ecommerce.</p>
<p>●</p>
<p>End-to-End Ownership: Experience the thrill of owning projects from concept to</p>
<p>deployment. You’ll have the freedom to explore, build, and optimize solutions, ensuring</p>
<p>they’re as impactful as possible.</p>
<p>●</p>
<p>Culture of Openness and Collaboration: We believe in a flat hierarchy, fostering open</p>
<p>communication and organization-wide visibility. Your voice matters, and your ideas are</p>
<p>heard.</p>
<p>●</p>
<p>Fun and Flexible Work Environment: Enjoy a vibrant workplace with flexible working</p>
<p>hours that let you balance work and life seamlessly.</p>
<p>●</p>
<p>Continuous Learning and Growth: Stay at the forefront of technology with access to</p>
<p>learning opportunities, courses, and tech conferences. Plus, benefit from mentorship by</p>
<p>experienced team members who are leaders in their fields.</p>
<p>●</p>
<p>Competitive Rewards and Growth: We offer competitive salary packages and fast-paced</p>
<p>career growth opportunities. Your hard work and contributions will be recognized and</p>
<p>rewarded.</p>
<p>R ead y t o sh a pe t h e f ut ure of A I wi t h us? R ead more!Who are we looking for?</p>
<p>We are looking for a Technical Architect to lead the design and evolution of large-scale analytics</p>
<p>and data-driven SaaS platforms. The role requires deep expertise in distributed systems, data</p>
<p>engineering, and scalable architectures, with a strong focus on building systems that handle</p>
<p>high-volume data processing, complex computations, and real-time analytics. The architect will</p>
<p>work closely with engineering, data science, product, and platform teams to translate business</p>
<p>requirements into robust, scalable, and cost-efficient technical solutions.</p>
<p><b>Roles and responsibilities</b></p>
<p>●</p>
<p>Own the end-to-end technical architecture for analytics and data products.</p>
<p>●</p>
<p>Design scalable, fault-tolerant, and high-performance systems for large-scale</p>
<p>computation and data processing.</p>
<p>●</p>
<p>Define and maintain reference architectures, design standards, and best practices.</p>
<p>●</p>
<p>Evaluate and recommend appropriate technologies for data storage, processing,</p>
<p>analytics, and ML workloads.</p>
<p>●</p>
<p>Drive adoption of cloud-native and distributed architectures.</p>
<p>●</p>
<p>Ensure systems meet non-functional requirements: scalability, reliability, performance,</p>
<p>security, and cost efficiency.</p>
<p>●</p>
<p>Provide technical leadership and guidance to engineering teams. Act as a technical</p>
<p>escalation point for complex system issues.</p>
<p>●</p>
<p>Drive performance benchmarking and capacity planning.</p>
<p>●</p>
<p>Architect solutions for:</p>
<p>●</p>
<p>Large-scale batch and streaming pipelines</p>
<p>●</p>
<p>High-throughput APIs</p>
<p>●</p>
<p>Real-time and near-real-time analytics systems</p>
<p><b>Skills and Qualifications</b></p>
<p>●</p>
<p>Strong experience in distributed systems and SaaS system design.</p>
<p>●</p>
<p>Deep knowledge of data platforms and analytics architectures.</p>
<p>●</p>
<p>Expertise in at least some of:</p>
<p>○</p>
<p>Kafka / PubSub / Kinesis</p>
<p>○</p>
<p>Data lakes (S3/ADLS/GCS + Delta/Iceberg/Hudi)</p>
<p>○</p>
<p>Columnar stores (BigQuery, Redshift, Snowflake, ClickHouse)</p>
<p>○</p>
<p>MySQL, NoSQL (DynamoDB), Postgres, HBase, Spark</p>
<p>●</p>
<p>Strong hands-on experience with AWS</p>
<p>●</p>
<p>Proficient in creating technical documents like Architecture views, Technology</p>
<p>Architecture blueprint and design specification</p>
<p>●</p>
<p>Expertise in Containerization (Docker, Kubernetes) and knowledge of CI/CD and DevOps</p>
<p>practices, monitoring and Alerting Tools like CloudWatch, DataDog, Sentry</p>
<p>●</p>
<p>Strong coding background in: Python / Go</p>
<p>●</p>
<p>Solid understanding of API design, Microservices architecture, Event-driven systems</p>
<p>●</p>
<p>Solid understanding of Data modeling (OLAP, dimensional, event-based), Feature</p>
<p>engineering, ML/LLM pipelines</p>
<p>●</p>
<p>Experience building or supporting AI-powered analytics systems is a strong plus.</p>