D - Technical Architect

About Us

DataWeave is a cutting-edge SaaS-based digital commerce analytics platform that empowers

retailers with competitive intelligence and equips consumer brands with digital shelf analytics on

a global scale. By harnessing the power of DataWeave, retailers gain the ability to make smarter

pricing and merchandising decisions, while consumer brands can optimize their digital shelf

performance across key performance indicators such as share of search, content quality, price

competitiveness, and stock availability.

At the heart of DataWeave's capabilities lies its state-of-the-art AI-powered proprietary

technology, which aggregates and analyzes 500+ billion data points, covering over 400,000

brands, 4,000+ websites, and spanning across more than 20 industry verticals.

Our distinguished clientele includes some of the world's largest and most renowned retailers

and brands, among them Nordstrom, Overstock, The Home Depot, Mars, Bush Brothers,

Mondelez, Pernod Ricard, and many others.

We are a globally distributed team, composed of over 200 talented engineers, product

managers, and eCommerce experts located across San Francisco, Seattle, Austin, and Toronto

in North America, complemented by our technology-focused offices in Bangalore.

What Do We Offer?

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Cutting-Edge Research & Applied ML Opportunities: Tackle some of the most challenging

problems in NLP, Computer Vision, and Large Language Models (LLMs). Experiment with

state-of-the-art algorithms and AI agents on massive text and image datasets. Your

work will shape the future of AI!

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Immediate Impact: See the direct impact of your innovations on our customers. Your

contributions won’t just sit on a shelf—they’ll drive real-world change in

retail/ecommerce.

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End-to-End Ownership: Experience the thrill of owning projects from concept to

deployment. You’ll have the freedom to explore, build, and optimize solutions, ensuring

they’re as impactful as possible.

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Culture of Openness and Collaboration: We believe in a flat hierarchy, fostering open

communication and organization-wide visibility. Your voice matters, and your ideas are

heard.

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Fun and Flexible Work Environment: Enjoy a vibrant workplace with flexible working

hours that let you balance work and life seamlessly.

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Continuous Learning and Growth: Stay at the forefront of technology with access to

learning opportunities, courses, and tech conferences. Plus, benefit from mentorship by

experienced team members who are leaders in their fields.

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Competitive Rewards and Growth: We offer competitive salary packages and fast-paced

career growth opportunities. Your hard work and contributions will be recognized and

rewarded.

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?

We are looking for a Technical Architect to lead the design and evolution of large-scale analytics

and data-driven SaaS platforms. The role requires deep expertise in distributed systems, data

engineering, and scalable architectures, with a strong focus on building systems that handle

high-volume data processing, complex computations, and real-time analytics. The architect will

work closely with engineering, data science, product, and platform teams to translate business

requirements into robust, scalable, and cost-efficient technical solutions.

Roles and responsibilities

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Own the end-to-end technical architecture for analytics and data products.

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Design scalable, fault-tolerant, and high-performance systems for large-scale

computation and data processing.

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Define and maintain reference architectures, design standards, and best practices.

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Evaluate and recommend appropriate technologies for data storage, processing,

analytics, and ML workloads.

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Drive adoption of cloud-native and distributed architectures.

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Ensure systems meet non-functional requirements: scalability, reliability, performance,

security, and cost efficiency.

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Provide technical leadership and guidance to engineering teams. Act as a technical

escalation point for complex system issues.

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Drive performance benchmarking and capacity planning.

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Architect solutions for:

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Large-scale batch and streaming pipelines

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High-throughput APIs

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Real-time and near-real-time analytics systems

Skills and Qualifications

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Strong experience in distributed systems and SaaS system design.

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Deep knowledge of data platforms and analytics architectures.

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Expertise in at least some of:

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Kafka / PubSub / Kinesis

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Data lakes (S3/ADLS/GCS + Delta/Iceberg/Hudi)

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Columnar stores (BigQuery, Redshift, Snowflake, ClickHouse)

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MySQL, NoSQL (DynamoDB), Postgres, HBase, Spark

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Strong hands-on experience with AWS

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Proficient in creating technical documents like Architecture views, Technology

Architecture blueprint and design specification

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Expertise in Containerization (Docker, Kubernetes) and knowledge of CI/CD and DevOps

practices, monitoring and Alerting Tools like CloudWatch, DataDog, Sentry

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Strong coding background in: Python / Go

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Solid understanding of API design, Microservices architecture, Event-driven systems

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Solid understanding of Data modeling (OLAP, dimensional, event-based), Feature

engineering, ML/LLM pipelines

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Experience building or supporting AI-powered analytics systems is a strong plus.