* We believe in in-person collaboration, internally and with customers/partners * We believe meetings are for shaping/ problem solving, not status updates * We believe in order to win, this is a team sport and hold one-another accountable to a high bar, publicly * We believe in first principles and a beginner mindset * We believe in a bias for action and speed * We believe in doing the hard things and making trade-offs We value you at and outside of work and know your loved ones are important. Our benefits are designed to support you and your family’s health through life’s expected and unexpected events. * Competitive Salary + Stock Options * Health Care Coverage + Life Insurance (2X Salary) * 401K Plan with Company match * Health Savings Account + Flexible Spending Account * Flexible Vacation Policy * Adaptable Working Schedule and Environment * Casual Dress Attire * Hybrid work flexibility (2 days work from home) * Catered Lunches, Snacks and Beverages * Commuter Transit and Parking Plan * Company Outings and Happy Hours * Designated Volunteering Hours + Group Volunteer Events Sight Machine is proud to be an equal opportunity employer and considers candidates regardless of age, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Sight Machine also considers qualified applicants regardless of criminal histories, consistent with legal requirements. Sight Machine strengthens manufacturers by providing the industry’s best manufacturing AI and data platform, and system-level visualization capabilities. Our innovative platform integrates all critical data into a single, intuitive platform, enabling everyone involved in the fabrication process to visualize, contextualize and analyze information seamlessly. Leveraging 3D technology and AI capabilities allows plant operators and managers to get real-time visibility into their manufacturing lines and AI/ML recommendations help improve production, yield and uptime. Sight Machine is committed and mission-driven to improve lives, strengthen communities and make the world cleaner by continuously re-envisioning and improving manufacturing processes, making them more efficient, sustainable and absolute. Founded in Michigan in 2011 and expanded to San Francisco in 2012, Sight Machine blends the Silicon Valley spirit of technology innovation and the down to earth style of Detroit manufacturing. Together, we bring deep industry expertise and a shared commitment to advancing manufacturing towards a more sustainable future. At Sight Machine, you will work with manufacturing leaders across industries including food & beverage, consumer packaged goods, automotive, packaging, etc. . You will have access to vast amounts of factory floor data, learn how the products you use every day are made, using that knowledge to uncover insights into how customers manufacture products and develop solutions to critical business challenges. Our platform tackles complex problems, including Extract Transform Load (ETL), information retrieval, data aggregation and analytics, factory automation, distributed computing, security, and is leading the expansion into machine learning, agentic and physical AI applications. We place great value on professional, technical, and personal growth in an inclusive, collaborative environment. The ideal candidate is passionate about technology and brings a strong, can-do attitude. They must be able to work in a highly dynamic environment with a good degree of ambiguity. They believe in the company’s mission and are all-in to make themselves and the company successful. As a Data Architect you’ll be leading the effort to establish world class data foundations for some of the largest manufacturers in the world. If working with real time streaming plant data, cutting edge ETL pipeline software tools, and solving complex data problems interests you, please apply for this position. You will make a significant impact on how Sight Machine pushes forward the field of manufacturing analytics. Manufacturing data was never generated for the purpose of analysis. It’s irregular, highly varied, out of order, and spread across multiple enterprise systems. Our proprietary ETL engine uniquely addresses these challenges, purpose built over a decade of working with streaming plant data, and designed to scale by applying advanced software development techniques to data processing. Professional Our professional services team is a hungry, humble, smart group of data architects, data scientists, data engineers, and customer engagement managers, who work collaboratively to solve some of the most complex challenges facing our manufacturing customers. We are laser focused on trusting and empowering each other, solving problems all the time (while knowing tomorrow will bring a few more), and getting a little better every day. * Lead the technical delivery of the Sight Machine platform for large manufacturing enterprises through the customer lifecycle: discovery, implementation, expansion, and ongoing support * Design and build complex, streaming data pipelines that synthesize disparate manufacturing data sources using a proprietary ETL engine * Collaborate with Data Scientists to design and implement advanced analytics using ML/AI * Analyze key customer uses cases, identify data sources, and architect common data solutions that unlock insights to enable data-driven continuous improvement * Partner with customer teams to establish trust in the Sight Machine data foundation * Drive adoption through internal and external data validation exercises * Contribute to data dictionaries and process flow diagrams for complex data solutions * Investigate, diagnose, and resolve data challenges using common data mining techniques that often involve creating custom python notebooks or constructing complex SQL queries * Collaborate with product and platform engineering teams to define and optimize new features at scale This position requires occasional domestic and international travel to client business and factory sites to kick-off engagements, conduct Gemba Walk (walk factory floors), and for onsite implementations. The frequency of travel will vary based on the client. * Ability to work independently and collaboratively with other teams to achieve goals and represent the business * Experience working with batch or streaming data processes * Strong analytical ability and problem-solving skills * Comfortable working with customers to understand how we can help improve their process * Experience with technologies such as Python, Java, Git, and Pandas or R * Experience working in a manufacturing environment or on 6 sigma projects * Experience in data analysis with SQL or NoSQL databases 120,000 - 150,000 USD per year(A2)