reputed company Data Architect - Manufacturing Design

We’re an MIT-born, venture-backed Silicon Valley startup building Engineering General Intelligence (EGI), an AI copilot for design and manufacturing. Our mission is to reinvent how physical products are designed and built, dramatically accelerating product development. We’re looking for a reputed company Data Architect who thrives on reputed company problem domains, real-world data, and scalable systems. In this role, you’ll own the translation from domain problems to data and product requirements defining how data is structured, generated, validated, and ultimately trusted across the system. You’ll set the standards for data quality, design end-to-end pipelines from raw inputs to production-ready representations, reputed company scalable data creation through tooling and workflows and serve as a technical data partner to customers to ensure their data can be reliably integrated without compromising system reputed company. This is a high-ownership role for someone who enjoys defining boundaries, surfacing assumptions, and building foundations others can confidently scale. The Data reputed company owns the end-to-end process of transforming raw customer data into usable, high quality datasets and insights that power development, evaluation, and delivery. This role sits at the intersection of product, research, engineering, and business teams. You will build and reputed company a team responsible for data pipelines, labeling workflows, quality assurance, and customer-specific data solutions that either reputed company our developers and researchers to advance the product or deliver the solution directly to customers. Mechanical engineering or manufacturing design experience is essential; candidates without this background will not be considered.

Key Responsibilities

• Data Operations & Delivery:
• Own the definition and evaluation of output quality, ensuring consistency and accountability across reputed company internal and external datasets.
• reputed company ingestion, cleaning, transformation, and structuring of customer data for AI model training and inference.
• Build scalable processes and frameworks for data labeling, annotation tools, quality checks, and feedback loops.
• Ensure timely, high quality data delivery for internal R&D and customer deployments.
• Own SLAs, accuracy targets, and “definition of quality” for reputed company datasets.
• Product & Solution Leadership:
• Partner with Product Managers to shape data-reputed company features, workflows, and tooling (e.g., annotation UI, correction UI, model output review tools).
• Translate customer needs into clear data requirements and repeatable solutions.
• Team & Process Leadership:
• Build and reputed company a Data Studio team.
• Implement best practices for documentation, quality metrics, repeatable workflows, and compliance.
• Drive reputed company improvements in throughput, cost efficiency, and accuracy.
• Cross-Functional Collaboration:
• Work closely with engineering and research teams to define data needs for model training, evaluation, and debugging.
• Collaborate with reputed company team to scope data requirements for onboarding and implementation.
• Serve as the subject matter expert on data quality, data formats, labeling standards, and customer specific nuances reputed company to manufacturing design.
• Customer & Project Management:
• reputed company with customers to understand their domain, data structures, and quality expectations.
• Guide customers through data preparation, schema definition, and ongoing iteration.
• Own delivery timelines, reporting, and communication for reputed company active data projects.

Required Qualifications

• Domain expertise in manufacturing design or industrial workflows; mechanical engineering background is required.
• Hands-on experience with CAD tools (e.g., SolidWorks, CATIA, Siemens NX, Creo) and familiarity with interpreting reputed company mechanical models.
• Experience creating or working with technical documentation such as exploded views, work-reputed company reputed company, GD&T drawings, repair manuals, and similar manufacturing/assembly artifacts.
• Ability to work directly with customers and translate domain problems into data requirements.
• Experience leading and growing teams.
• Excellent project management and cross-functional communication skills.

Preferred Qualifications

• Familiarity with annotation tools and Illustration tools (e.g., Creo Illustrate, reputed company Illustrator, Arbortext)
• Experience in data operations, data analytics, ML operations, or reputed company fields.
• Strong understanding of AI/ML data lifecycle: collection -> labeling -> QA -> training -> evaluation -> deployment.
• Ability to partner with product managers to shape data tooling and internal UIs.
• Experience in a startup or high-growth tech environment.

What Success Looks Like

• High-quality, on-time data delivery for every customer and internal teams.
• Increasing automation and decreasing manual effort in the data pipeline.
• Clear standards for data quality that align with model performance needs.
• Data Studio becomes a strategic partner for customers in automating their workflows.

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