{"schemaVersion":"jobsearcher.job.v1","id":"c925923a3f448e1fbbae6382","url":"https://jobsearcher.com/jobs/c925923a3f448e1fbbae6382","canonicalUrl":"https://jobsearcher.com/jobs/c925923a3f448e1fbbae6382","title":"Sr Solutions Architect - Databricks","description":"Introduction\r\nAt IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, let's talk.\r\nYour role and responsibilities\r\nWe are seeking a highly motivated and technically proficient Solution Architect with deep expertise in data, a strong understanding of Generative AI, and a proven track record with Databricks to join our dynamic team. In this pivotal role, you will bridge the gap between business challenges and technical solutions, working closely with prospective clients to understand their needs, demonstrate the transformative value of our consulting services, and craft compelling technical proposals. This is an exciting opportunity for an individual who is passionate about data and AI, enjoys problem-solving, and thrives in a client-facing, consultative sales environment.\r\nKey Responsibilities\r\nTechnical Pre-Sales and Discovery\r\nSupport our key accounts and account teams as well as field sales teams.\r\nCollaborate with Account Executives to qualify sales opportunities and conduct in-depth discovery sessions with prospective clients to understand their current data landscape, business objectives, pain points, and technical requirements.\r\nAct as a trusted advisor, offering insights and guidance on data strategy, governance, architecture, traditional analytics, machine learning, and the strategic application of Generative AI.\r\nQuarterback technical pursuits identifying when to leverage the extended team of industry and technical experts to bring the right resources to the pursuit.\r\nSolution Design and Presentation\r\nDesign and articulate tailored data and Generative AI solutions that align with client needs and leverage our consulting capabilities. This may include proposing solutions for:\r\nArchitecting and optimizing data pipelines and data warehouses on Databricks and cloud platforms.\r\nData ingestion strategies.\r\nBusiness Intelligence and Data Visualization integrations.\r\nAI/ML integration and MLOps, with a strong focus on ML model training, deployment, and governance within Databricks.\r\nGenerative AI use cases (e.g., custom LLM development, RAG implementations, prompt engineering strategies, AI agent frameworks, fine-tuning open-source models) specifically demonstrating how these can be built and deployed effectively.\r\nCloud data and AI platforms (AWS, Azure, GCP), emphasizing the native integrations and optimal deployment patterns for Databricks.\r\nDevelop and deliver compelling technical presentations, platform demonstrations, and proof-of-concepts (POCs) demonstrating the capabilities to diverse audiences, including technical stakeholders and business leaders.\r\nTranslate complex technical concepts (including advanced AI/ML, GenAI, and specific Databricks features) into clear, concise, and business-relevant language.\r\nProposal Development\r\nContribute to the development of detailed technical proposals, Statements of Work (SOWs), and responses to RFPs/RFIs, ensuring accuracy, completeness, and alignment with client requirements for data solutions.\r\nEstimate effort and resource requirements for proposed data solutions, leveraging knowledge of typical workload patterns and best practices.\r\nCoordinate with delivery and operations management to streamline scoping and estimation capabilities including the development of the estimation document and process.\r\nDevelop an understanding of the IBM estimation process and tools and incorporate that into the Hakkoda framework.\r\nMarket and Industry Expertise\r\nStay abreast of emerging trends, technologies, and best practices in the data space, with a strong focus on Databricks product roadmaps, new features, and competitive positioning.\r\nDevelop relationships with Databricks Solution engineering teams, collaborating on new solutions and product developments.\r\nDevelop relationships with partner organizations.\r\nCross-Functional Collaboration\r\nWork closely with the consulting delivery teams to ensure a smooth hand-off from pre-sales to project execution and to provide feedback from client engagements.\r\nCollaborate with marketing to develop technical sales enablement content and collateral.\r\nCollaborate with Asset and Delivery teams to understand GenAI asset catalog and applicability to the pre-sales and delivery process.\r\nClient Relationship Management\r\nBuild and maintain strong relationships with key technical stakeholders and decision-makers within client organizations, fostering trust and credibility as an expert in data.\r\nThis job may be performed from anywhere in the US.\r\nRequired technical and professional expertise\r\nQualifications\r\nBachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical field.\r\n4+ years of experience in a technical pre-sales, solutions architecture, or consulting role, specifically focused on data solutions, with a strong emphasis on AI/ML.\r\nDemonstrated deep technical expertise and hands-on experience with Databricks.\r\nGood technical understanding of Generative AI concepts and technologies, including:\r\nLarge Language Models (LLMs) and their applications, with an understanding of how they integrate with Databricks.\r\nRetrieval-Augmented Generation (RAG) architectures, with an understanding of how to implement these using vector databases integrated with Databricks.\r\nPrompt engineering best practices.\r\nFine-tuning and deployment of generative models on cloud platforms, including considerations for Databricks environments.\r\nFamiliarity with Generative AI frameworks and libraries (e.g., LangChain, LlamaIndex, Hugging Face Transformers) in the context of Databricks.\r\nHands-on experience with cloud-based GenAI services (e.g., AWS Bedrock, Azure OpenAI Service, Google Cloud Vertex AI) and their integration with Databricks as the data foundation.\r\nDeep technical expertise in at least several of the following areas\r\nData Warehousing and Data Lake architectures.\r\nETL/ELT tools and methodologies.\r\nBusiness Intelligence and Data Visualization tools (e.g., Tableau, Power BI, Qlik Sense).\r\nSQL proficiency and experience with various database systems (relational, NoSQL, vector databases).\r\nCloud data platforms (AWS, Azure, GCP) – certifications are a strong plus, especially specific Databricks certifications.\r\nData Governance, Data Quality, and Master Data Management (MDM) concepts.\r\nProgramming languages such as Python or Scala for data manipulation/analysis and AI model development within Databricks.\r\nProven ability to articulate complex technical solutions to both technical and non-technical audiences.\r\nExcellent communication, presentation, and interpersonal skills.\r\nStrong problem-solving abilities and a consultative approach to sales.\r\nAbility to work independently and as part of a collaborative team.\r\nPreferred technical and professional experience\r\nMaster's degree preferred.\r\nEqual Opportunity Employer\r\nIBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.\r\nJ-18808-Ljbffr","company":"IBM Computing","rawCompany":"ibm computing","city":"Phoenix","state":"AZ","isRemote":false,"isActive":false,"createdAt":"2026-04-09T15:27:42.411Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"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":"Sr Solutions Architect - Databricks","description":"Introduction\r\nAt IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, let's talk.\r\nYour role and responsibilities\r\nWe are seeking a highly motivated and technically proficient Solution Architect with deep expertise in data, a strong understanding of Generative AI, and a proven track record with Databricks to join our dynamic team. In this pivotal role, you will bridge the gap between business challenges and technical solutions, working closely with prospective clients to understand their needs, demonstrate the transformative value of our consulting services, and craft compelling technical proposals. This is an exciting opportunity for an individual who is passionate about data and AI, enjoys problem-solving, and thrives in a client-facing, consultative sales environment.\r\nKey Responsibilities\r\nTechnical Pre-Sales and Discovery\r\nSupport our key accounts and account teams as well as field sales teams.\r\nCollaborate with Account Executives to qualify sales opportunities and conduct in-depth discovery sessions with prospective clients to understand their current data landscape, business objectives, pain points, and technical requirements.\r\nAct as a trusted advisor, offering insights and guidance on data strategy, governance, architecture, traditional analytics, machine learning, and the strategic application of Generative AI.\r\nQuarterback technical pursuits identifying when to leverage the extended team of industry and technical experts to bring the right resources to the pursuit.\r\nSolution Design and Presentation\r\nDesign and articulate tailored data and Generative AI solutions that align with client needs and leverage our consulting capabilities. This may include proposing solutions for:\r\nArchitecting and optimizing data pipelines and data warehouses on Databricks and cloud platforms.\r\nData ingestion strategies.\r\nBusiness Intelligence and Data Visualization integrations.\r\nAI/ML integration and MLOps, with a strong focus on ML model training, deployment, and governance within Databricks.\r\nGenerative AI use cases (e.g., custom LLM development, RAG implementations, prompt engineering strategies, AI agent frameworks, fine-tuning open-source models) specifically demonstrating how these can be built and deployed effectively.\r\nCloud data and AI platforms (AWS, Azure, GCP), emphasizing the native integrations and optimal deployment patterns for Databricks.\r\nDevelop and deliver compelling technical presentations, platform demonstrations, and proof-of-concepts (POCs) demonstrating the capabilities to diverse audiences, including technical stakeholders and business leaders.\r\nTranslate complex technical concepts (including advanced AI/ML, GenAI, and specific Databricks features) into clear, concise, and business-relevant language.\r\nProposal Development\r\nContribute to the development of detailed technical proposals, Statements of Work (SOWs), and responses to RFPs/RFIs, ensuring accuracy, completeness, and alignment with client requirements for data solutions.\r\nEstimate effort and resource requirements for proposed data solutions, leveraging knowledge of typical workload patterns and best practices.\r\nCoordinate with delivery and operations management to streamline scoping and estimation capabilities including the development of the estimation document and process.\r\nDevelop an understanding of the IBM estimation process and tools and incorporate that into the Hakkoda framework.\r\nMarket and Industry Expertise\r\nStay abreast of emerging trends, technologies, and best practices in the data space, with a strong focus on Databricks product roadmaps, new features, and competitive positioning.\r\nDevelop relationships with Databricks Solution engineering teams, collaborating on new solutions and product developments.\r\nDevelop relationships with partner organizations.\r\nCross-Functional Collaboration\r\nWork closely with the consulting delivery teams to ensure a smooth hand-off from pre-sales to project execution and to provide feedback from client engagements.\r\nCollaborate with marketing to develop technical sales enablement content and collateral.\r\nCollaborate with Asset and Delivery teams to understand GenAI asset catalog and applicability to the pre-sales and delivery process.\r\nClient Relationship Management\r\nBuild and maintain strong relationships with key technical stakeholders and decision-makers within client organizations, fostering trust and credibility as an expert in data.\r\nThis job may be performed from anywhere in the US.\r\nRequired technical and professional expertise\r\nQualifications\r\nBachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical field.\r\n4+ years of experience in a technical pre-sales, solutions architecture, or consulting role, specifically focused on data solutions, with a strong emphasis on AI/ML.\r\nDemonstrated deep technical expertise and hands-on experience with Databricks.\r\nGood technical understanding of Generative AI concepts and technologies, including:\r\nLarge Language Models (LLMs) and their applications, with an understanding of how they integrate with Databricks.\r\nRetrieval-Augmented Generation (RAG) architectures, with an understanding of how to implement these using vector databases integrated with Databricks.\r\nPrompt engineering best practices.\r\nFine-tuning and deployment of generative models on cloud platforms, including considerations for Databricks environments.\r\nFamiliarity with Generative AI frameworks and libraries (e.g., LangChain, LlamaIndex, Hugging Face Transformers) in the context of Databricks.\r\nHands-on experience with cloud-based GenAI services (e.g., AWS Bedrock, Azure OpenAI Service, Google Cloud Vertex AI) and their integration with Databricks as the data foundation.\r\nDeep technical expertise in at least several of the following areas\r\nData Warehousing and Data Lake architectures.\r\nETL/ELT tools and methodologies.\r\nBusiness Intelligence and Data Visualization tools (e.g., Tableau, Power BI, Qlik Sense).\r\nSQL proficiency and experience with various database systems (relational, NoSQL, vector databases).\r\nCloud data platforms (AWS, Azure, GCP) – certifications are a strong plus, especially specific Databricks certifications.\r\nData Governance, Data Quality, and Master Data Management (MDM) concepts.\r\nProgramming languages such as Python or Scala for data manipulation/analysis and AI model development within Databricks.\r\nProven ability to articulate complex technical solutions to both technical and non-technical audiences.\r\nExcellent communication, presentation, and interpersonal skills.\r\nStrong problem-solving abilities and a consultative approach to sales.\r\nAbility to work independently and as part of a collaborative team.\r\nPreferred technical and professional experience\r\nMaster's degree preferred.\r\nEqual Opportunity Employer\r\nIBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.\r\nJ-18808-Ljbffr","datePosted":"2026-04-09T15:27:42.411Z","dateModified":"2026-04-09T15:27:42.411Z","hiringOrganization":{"@type":"Organization","name":"IBM Computing","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Phoenix","addressRegion":"AZ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c925923a3f448e1fbbae6382"},"url":"https://jobsearcher.com/jobs/c925923a3f448e1fbbae6382"}}