LinkedIn
Senior Solutions Architect, Data Products (Microsoft AI)
LinkedIn, Chicago, Illinois, United States, 60290
Overview
Senior Solutions Architect, Data Products (Microsoft AI) – LinkedIn GTME. This role supports LinkedIn’s Global Business Organization by designing, building, and scaling custom business applications and intelligent workflows using Microsoft technologies (Power Platform, Azure Databricks, Copilot capabilities). You will apply app development, cloud integration, and generative AI to create scalable solutions that streamline reporting, automate processes, and deliver conversational analytics. Collaborate with cross-functional partners to translate business needs into rapidly executable solutions. Responsibilities
Architect & ship analytics agents and copilots: Build conversational analytics experiences (via Copilot Studio) and take them from prototype to production with targets for reliability, observability, and safety. Build the data foundation: Orchestrate governed data flows and publish reusable semantic models/datasets that power apps, agents, and BI. Turn insights into action: Implement event-driven workflows that react to analytics signals to deliver targeted enablement to sellers with measurable outcomes. Translate needs into a plan: Convert business requirements into success metrics and a prioritized roadmap; communicate trade-offs and drive alignment across partners. Raise the engineering bar: Apply Power Platform governance and ALM best practices (e.g., DLP/RBAC) and secure-by-default patterns; document architecture decisions and operating runbooks. Mentor and multiply impact: Coach developers and codify internal standards, templates, and patterns for AI solution design and data product development. Qualifications
Bachelor’s degree in a technical field or equivalent practical experience 5+ years developing enterprise applications or data solutions 2+ years hands-on experience with Power Platform, including Power BI 2+ years experience in one or more scripting languages (e.g., Python) Experience delivering AI-enabled applications or conversational agents 4+ years of experience with SQL for building and validating datasets Preferred Qualifications
Delivered AI-enabled applications and conversational agents using Copilot Studio Led cross-functional AI and automation programs (LLM prompt design, model evaluation, pipeline automation) Built governed data flows and reusable semantic models Applied DevOps practices for Power Platform ALM (DLP, RBAC, secure-by-default) and hold certifications (PL-400, PL-600, APL-7008) Hands-on experience with Azure Logic Apps and Databricks for scalable workflows Domain experience in sales enablement and analytics; ability to translate business needs into measurable outcomes Suggested Skills
Solution architecture Rapid prototyping AI and Automation Compensation and Other Information
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $126,000 to $204,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including skill set, years and depth of experience, certifications, and location. The total compensation package may include annual performance bonus, stock, benefits, and other incentive plans. For more information, visit: https://careers.linkedin.com/benefits. Equal Opportunity and Accessibility
LinkedIn is an equal opportunity employer and is committed to inclusive and accessible experiences for all job seekers. If you need a reasonable accommodation, please contact accommodations@linkedin.com. Details about accommodations are available in our candidate portal and policy statements. Notes
Seniority level: Mid-Senior level • Employment type: Full-time • Industry: Technology, Information and Internet
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Senior Solutions Architect, Data Products (Microsoft AI) – LinkedIn GTME. This role supports LinkedIn’s Global Business Organization by designing, building, and scaling custom business applications and intelligent workflows using Microsoft technologies (Power Platform, Azure Databricks, Copilot capabilities). You will apply app development, cloud integration, and generative AI to create scalable solutions that streamline reporting, automate processes, and deliver conversational analytics. Collaborate with cross-functional partners to translate business needs into rapidly executable solutions. Responsibilities
Architect & ship analytics agents and copilots: Build conversational analytics experiences (via Copilot Studio) and take them from prototype to production with targets for reliability, observability, and safety. Build the data foundation: Orchestrate governed data flows and publish reusable semantic models/datasets that power apps, agents, and BI. Turn insights into action: Implement event-driven workflows that react to analytics signals to deliver targeted enablement to sellers with measurable outcomes. Translate needs into a plan: Convert business requirements into success metrics and a prioritized roadmap; communicate trade-offs and drive alignment across partners. Raise the engineering bar: Apply Power Platform governance and ALM best practices (e.g., DLP/RBAC) and secure-by-default patterns; document architecture decisions and operating runbooks. Mentor and multiply impact: Coach developers and codify internal standards, templates, and patterns for AI solution design and data product development. Qualifications
Bachelor’s degree in a technical field or equivalent practical experience 5+ years developing enterprise applications or data solutions 2+ years hands-on experience with Power Platform, including Power BI 2+ years experience in one or more scripting languages (e.g., Python) Experience delivering AI-enabled applications or conversational agents 4+ years of experience with SQL for building and validating datasets Preferred Qualifications
Delivered AI-enabled applications and conversational agents using Copilot Studio Led cross-functional AI and automation programs (LLM prompt design, model evaluation, pipeline automation) Built governed data flows and reusable semantic models Applied DevOps practices for Power Platform ALM (DLP, RBAC, secure-by-default) and hold certifications (PL-400, PL-600, APL-7008) Hands-on experience with Azure Logic Apps and Databricks for scalable workflows Domain experience in sales enablement and analytics; ability to translate business needs into measurable outcomes Suggested Skills
Solution architecture Rapid prototyping AI and Automation Compensation and Other Information
LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $126,000 to $204,000. Actual compensation packages are based on a wide array of factors unique to each candidate, including skill set, years and depth of experience, certifications, and location. The total compensation package may include annual performance bonus, stock, benefits, and other incentive plans. For more information, visit: https://careers.linkedin.com/benefits. Equal Opportunity and Accessibility
LinkedIn is an equal opportunity employer and is committed to inclusive and accessible experiences for all job seekers. If you need a reasonable accommodation, please contact accommodations@linkedin.com. Details about accommodations are available in our candidate portal and policy statements. Notes
Seniority level: Mid-Senior level • Employment type: Full-time • Industry: Technology, Information and Internet
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