{"schemaVersion":"jobsearcher.job.v1","id":"f726e1ab0c6398de3e159d84","url":"https://jobsearcher.com/jobs/f726e1ab0c6398de3e159d84","canonicalUrl":"https://jobsearcher.com/jobs/f726e1ab0c6398de3e159d84","title":"Databricks Solution Architect","description":"Databricks Solution Architect\r\nBits In Glass - Remote-friendly (Canada)\r\nBits In Glass (BIG) is a high-growth AI and automation consulting firm with offices across Canada, the United States, India, and the United Kingdom. Our portfolio spans more than 10 leading technologies across AI, cloud, data, automation, and business applications.\r\nRecognized globally as a Great Place to Work and the recipient of multiple partner excellence awards, BIG is built on collaboration, innovation, and delivering measurable business outcomes for enterprise clients. We are a team of experienced technology professionals who enjoy solving complex challenges, celebrating wins together, and helping customers modernize with confidence.\r\nAbout the Role\r\nWe are looking for a hands-on Databricks Solution Architect to design the data and AI platforms that power our enterprise clients. This is a deeply technical role for an architect who wants to stay close to the technology - shaping Lakehouse architectures, building working prototypes, and setting the technical direction that delivery teams carry forward.\r\nYou will work directly with prospects and customers to understand their data challenges and design solutions on the Databricks Lakehouse Platform that actually fit their environment. That means partnering with our account and delivery teams throughout the sales process, ensuring the architecture you propose gets built. This role is ideal for someone who enjoys solving hard data problems, solution storytelling, and being the trusted technical voice customers rely on.\r\nWhat You'll Do\r\nDesign scalable Databricks solution architectures - Lakehouse, Delta Lake, and Unity Catalog patterns - tailored to each customer's environment and business goals.\r\nLead technical discovery workshops to understand customer business objectives, data challenges, and current-state architecture\r\nBuild working prototypes, proofs-of-concept, and reference architectures that showcase the capabilities of the Databricks Lakehouse Platform.\r\nGuide customers on best practices for data pipelines, data modeling, and platform governance.\r\nAdvise on integrating Databricks with hyperscaler environments (AWS, Azure, GCP) and adjacent data tooling.\r\nDemonstrate Databricks capabilities across Data Engineering, Data Science, ML, and Generative AI use cases, including Mosaic AI, MLflow, and Feature Store.\r\nIdentify and mitigate technical risks early so delivery teams are set up for success.\r\nTranslate complex technical concepts into clear business value for both technical stakeholders and executive audiences.\r\nPartner with account teams throughout the sales process - from early prospect conversations through evaluation - to shape sound, winning technical strategies\r\nCollaborate with Data Scientists and ML Engineers to develop AI-powered demo assets and reference architectures.\r\nTechnical Leadership & Community\r\nServe as a resident Databricks expert within BIG - sharing knowledge and enabling the broader team.\r\nContribute reusable accelerators, demo assets, and technical playbooks.\r\nStay current on Databricks platform releases and evolving data and AI patterns.\r\nRepresent BIG at customer events, webinars, and Databricks partner activities.\r\nProvide field feedback to Databricks product and partner teams to help influence the roadmap.\r\nTravel up to 15% for customer meetings and partner collaboration.\r\nWhat You Bring\r\n3+ years of hands-on experience with Databricks and/or Snowflake in a technical capacity.\r\n5+ years in customer-facing technical roles - solutions architecture, technical consulting, or sales engineering.\r\nExperience designing, presenting, and delivering production data architectures for enterprise customers - including Lakehouse, Delta Lake, and Unity Catalog Patterns - on AWS, Azure, and/or GCP.\r\nDatabricks Professional-level certification (e.g., Data Engineer Professional, Machine Learning Professional).\r\nStrong expertise in at least one core data domain: big data engineering (Spark, Kafka), Data Warehousing & ETL, or Data Science & ML.\r\nFluency in Python and SQL (Scala, Java, or R is a plus).\r\nExceptional verbal and written communication and presentation skills - able to engage in and lead business-level meetings with technical and non-technical Client and internal team members.\r\nAbility to translate complex topics into clear business value and earn buy-in from engineers and executives.\r\nNice to Have\r\nA degree in Computer Science, Applied Mathematics, Operations Research, or a related quantitative field.\r\nExperience with adjacent technologies such as dbt, Fivetran, Airflow, or Delta Sharing.\r\nFamiliarity with AI/GenAI frameworks and LLM application patterns.\r\nDatabricks GenAI Engineer Associate certification.\r\nExposure to enterprise engagement cycles and how technical decisions shape deal outcomes.\r\nExperience with Frontier LLMs such as Claude code for SDLC acceleration.\r\nWhy Bits In Glass?\r\nWork on meaningful, high-impact data and AI projects for enterprise clients across Canada, the US, UK, and India.\r\nJoin a Certified Great Place to Work with a people-first, collaborative culture.\r\nAccess to 10+ cutting-edge technology practices and continuous learning opportunities.\r\nCompetitive compensation, benefits, and a team that celebrates wins together.\r\nFlexible, remote-friendly work environment.\r\nJ-18808-Ljbffr","company":"Bitsinglassca","rawCompany":"bitsinglassca","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-12T00:45:07.363Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Databricks Solution Architect","description":"Databricks Solution Architect\r\nBits In Glass - Remote-friendly (Canada)\r\nBits In Glass (BIG) is a high-growth AI and automation consulting firm with offices across Canada, the United States, India, and the United Kingdom. Our portfolio spans more than 10 leading technologies across AI, cloud, data, automation, and business applications.\r\nRecognized globally as a Great Place to Work and the recipient of multiple partner excellence awards, BIG is built on collaboration, innovation, and delivering measurable business outcomes for enterprise clients. We are a team of experienced technology professionals who enjoy solving complex challenges, celebrating wins together, and helping customers modernize with confidence.\r\nAbout the Role\r\nWe are looking for a hands-on Databricks Solution Architect to design the data and AI platforms that power our enterprise clients. This is a deeply technical role for an architect who wants to stay close to the technology - shaping Lakehouse architectures, building working prototypes, and setting the technical direction that delivery teams carry forward.\r\nYou will work directly with prospects and customers to understand their data challenges and design solutions on the Databricks Lakehouse Platform that actually fit their environment. That means partnering with our account and delivery teams throughout the sales process, ensuring the architecture you propose gets built. This role is ideal for someone who enjoys solving hard data problems, solution storytelling, and being the trusted technical voice customers rely on.\r\nWhat You'll Do\r\nDesign scalable Databricks solution architectures - Lakehouse, Delta Lake, and Unity Catalog patterns - tailored to each customer's environment and business goals.\r\nLead technical discovery workshops to understand customer business objectives, data challenges, and current-state architecture\r\nBuild working prototypes, proofs-of-concept, and reference architectures that showcase the capabilities of the Databricks Lakehouse Platform.\r\nGuide customers on best practices for data pipelines, data modeling, and platform governance.\r\nAdvise on integrating Databricks with hyperscaler environments (AWS, Azure, GCP) and adjacent data tooling.\r\nDemonstrate Databricks capabilities across Data Engineering, Data Science, ML, and Generative AI use cases, including Mosaic AI, MLflow, and Feature Store.\r\nIdentify and mitigate technical risks early so delivery teams are set up for success.\r\nTranslate complex technical concepts into clear business value for both technical stakeholders and executive audiences.\r\nPartner with account teams throughout the sales process - from early prospect conversations through evaluation - to shape sound, winning technical strategies\r\nCollaborate with Data Scientists and ML Engineers to develop AI-powered demo assets and reference architectures.\r\nTechnical Leadership & Community\r\nServe as a resident Databricks expert within BIG - sharing knowledge and enabling the broader team.\r\nContribute reusable accelerators, demo assets, and technical playbooks.\r\nStay current on Databricks platform releases and evolving data and AI patterns.\r\nRepresent BIG at customer events, webinars, and Databricks partner activities.\r\nProvide field feedback to Databricks product and partner teams to help influence the roadmap.\r\nTravel up to 15% for customer meetings and partner collaboration.\r\nWhat You Bring\r\n3+ years of hands-on experience with Databricks and/or Snowflake in a technical capacity.\r\n5+ years in customer-facing technical roles - solutions architecture, technical consulting, or sales engineering.\r\nExperience designing, presenting, and delivering production data architectures for enterprise customers - including Lakehouse, Delta Lake, and Unity Catalog Patterns - on AWS, Azure, and/or GCP.\r\nDatabricks Professional-level certification (e.g., Data Engineer Professional, Machine Learning Professional).\r\nStrong expertise in at least one core data domain: big data engineering (Spark, Kafka), Data Warehousing & ETL, or Data Science & ML.\r\nFluency in Python and SQL (Scala, Java, or R is a plus).\r\nExceptional verbal and written communication and presentation skills - able to engage in and lead business-level meetings with technical and non-technical Client and internal team members.\r\nAbility to translate complex topics into clear business value and earn buy-in from engineers and executives.\r\nNice to Have\r\nA degree in Computer Science, Applied Mathematics, Operations Research, or a related quantitative field.\r\nExperience with adjacent technologies such as dbt, Fivetran, Airflow, or Delta Sharing.\r\nFamiliarity with AI/GenAI frameworks and LLM application patterns.\r\nDatabricks GenAI Engineer Associate certification.\r\nExposure to enterprise engagement cycles and how technical decisions shape deal outcomes.\r\nExperience with Frontier LLMs such as Claude code for SDLC acceleration.\r\nWhy Bits In Glass?\r\nWork on meaningful, high-impact data and AI projects for enterprise clients across Canada, the US, UK, and India.\r\nJoin a Certified Great Place to Work with a people-first, collaborative culture.\r\nAccess to 10+ cutting-edge technology practices and continuous learning opportunities.\r\nCompetitive compensation, benefits, and a team that celebrates wins together.\r\nFlexible, remote-friendly work environment.\r\nJ-18808-Ljbffr","datePosted":"2026-08-12T00:45:07.363Z","dateModified":"2026-08-12T00:45:07.363Z","hiringOrganization":{"@type":"Organization","name":"Bitsinglassca","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f726e1ab0c6398de3e159d84"},"url":"https://jobsearcher.com/jobs/f726e1ab0c6398de3e159d84"}}