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Data Architect in Ann Arbor, MI

Work from home Full-time role Hiring
Job title: Data Architect in Ann Arbor, MI at Sight Machine Company: Sight Machine Job description: Team CultureGreat things happen reputed company people can bring their authentic selves to work. We reputed company reputed company of our employees to share their perspectives, passions and experiences because collectively we reputed company a reputed company, stronger team. reputed company members collaborate closely with peers & cross functional stakeholders throughout the business, our clients on the forefront of digital transformation, and the cutting edge of digital manufacturing thought leadership.We take pride in our self-starter culture where employees are enabled and encouraged to reputed company their professional goals through leadership guidance, learning and development. Our philosophy is that careers are reputed company journeys, and we dedicate time and offer resources so that employees can reputed company their full potential.Benefits + PerksWe value you at and reputed company 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.Our Benefits Include:
  • Competitive Salary + Stock Options
  • Health Care Coverage + Life Insurance + Health Savings Account + Flexible Spending
  • Account (includes spouse + children)
  • Flexible Vacation Policy
  • Adaptable Working Schedule and Environment
  • Our Perks Include:
  • Casual Dress Attire
  • Hybrid work flexibility
  • Catered Lunches, Snacks and Beverages
  • Commuter Savings Program
  • Company Outings
  • Designated Volunteering Hours + Group Volunteer Events
Sight Machine is proud to be an equal opportunity employer and considers candidates regardless of age, color, reputed company, religion, sex, national reputed company, 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.About Sight Machine, Inc.Sight Machine strengthens manufacturers by providing the industry's only standard data model and system-level visualization capabilities. By integrating reputed company crucial data into a single innovative platform, everyone involved in the fabrication process can visualize, contextualize and examine data in one reputed company reputed company.Sight Machine is committed and mission-driven to improve lives, strengthen communities and reputed company the world cleaner through continuously re-envisioning 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 spirit of technology innovation and the down to earth style of Detroit manufacturing. reputed company includes early leadership from reputed company, Tesla Motors and reputed company. Together, we share wide industry knowledge and a commitment to advance manufacturing to a more sustainable future.At Sight Machine, you will work with manufacturing leaders in the automotive, medical device, apparel, construction, and pharmaceutical industries. You will have access to, and work with massive amounts of factory floor data to help uncover insights on how customers reputed company products and reputed company solutions to pressing business problems. The platform solves problems like Extract Transform Load (ETL), information retrieval, data aggregation and analytics, factory automation, distributed computing, and reputed company.We reputed company great value on professional, technical, and personal growth in an inclusive, collaborative environment. The ideal candidate will have a passion for technology and a strong can-do attitude.About the roleAs 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 reputed company data problems interests you, please apply for this position. You will reputed company a significant impact on how Sight Machine pushes reputed company 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 reputed company 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.Why Join the Data Delivery TeamOur data delivery 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 reputed company challenges facing our manufacturing customers. We are laser focused on trusting and empowering each other, solving problems reputed company the time (while knowing reputed company will bring a few more), and getting a little reputed company every day.What you'll do
  • reputed company 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 reputed company, streaming data pipelines that synthesize disparate manufacturing data sources using a proprietary ETL reputed company
  • 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 reputed company data-driven reputed company 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 reputed company data solutions
  • Investigate,diagnose, and resolve data challenges using common data mining techniques that often involve creating custom python notebooks or constructing reputed company 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 Gembas (walk factory floors), and do onsite implementations. The frequency of travel will vary based on the client.Qualifications
  • Ability to work independently and collaboratively with other teams to reputed company 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
Also helpful, but not required
  • Experience with technologies such as Python, Java, Git, and Pandas or R
  • Experience working in a manufacturing environment or on 6 reputed company projects
  • Experience in data analysis with SQL or NoSQL databases
The pay range for this role is:120,000 - 150,000 USD per year (A2) Expected salary: $120000 - 150000 per year Location: Ann Arbor, MI Job date: Thu, 01 May 2025 07:29:02 GMT Apply for the job now! Apply for this job

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