Avanade
Overview
Join to apply for the
Sr Data Engineering Architect, Manager
role at
Avanade . Our Data & AI team is composed of globally recognized experts, with room for more analytical and ambitious data professionals. If you are passionate about helping clients transform their business with the latest AI and data technologies, let’s talk and advance your career where you can do what matters. As a Lead Solution Architect
within our Data & AI Practice, you will use a client-centric approach to understand challenges and opportunities, delivering solutions that create transformative change and high-value business outcomes. You will engage in solutioning and support on strategic opportunities, intervene in high-risk, complex deliveries, and shape strategic direction using data platforms, reporting, self-service analytics, real-time intelligence, and AI engineering. Using modern data platforms, visualizations, advanced analytics, machine learning, IoT/digital twins and applied intelligence, we help clients gain business insights to optimize operations, drive innovation, and make empowered decisions. Responsibilities
Lead architectural work and provide technical leadership on client projects, shaping deals and propositions, driving architectural decisions, creating plans and roadmaps, and producing design artifacts. Play a key role in Avanade’s sales process by designing solutions that innovate, inspire, and win new business; responsible for high-level design, estimates, and contractual details for client proposals in collaboration with subject matter experts. Mentor and coach more junior colleagues, and motivate teams across the organization. Translate complex technical concepts into audience-appropriate language and value-based outcomes for senior business stakeholders, technology leaders, and internal sales teams. Engage early with clients and sales teams to support origination, requirements capture, and solutioning; build strong client relationships as a trusted advisor; participate in Deal Reviews and client negotiations. Collaborate with Data & AI leadership to shape current and future offerings, accelerators, and background IP to support GTM activities. Drive the evolution of best practices and methodologies for AI development, including data management, model training, fine-tuning, and deployment. Lead the development of data and analytics platforms, real-time intelligence and reporting solutions using Python, SQL, Microsoft Azure Data Services, Fabric and Databricks. Stay current with advancements in Data & AI technologies and incorporate relevant innovations into solutions. Identify and execute cross-industry solutions at scale for your region, including Data Migration, Automation Migration, Visualization/Reporting, and Core Data Platform Modernization and Governance. Drive measurable and sustained growth across the Data & AI Solution Area and integrate Data & AI into other Global Solution Areas, offerings, and GTM initiatives. Drive strong Managed Services and multi-year engagements for Data & AI. Qualifications
Excellent working knowledge of Microsoft and Databricks. Experience in Data, Applied Intelligence, Automation, IoT and related technologies. Awareness of channels to market and how to work in a Microsoft and partner ecosystem to ensure Customer Success. High energy and a proactive mindset to help clients understand the fast-moving AI industry, product, and service evolution. Experience creating technical visions, high-level architectures, and delivery roadmaps for large programs that involve latest AI concepts, especially scaling AI across enterprises. Deep understanding of responsible data platforms, migration principles, practices, and regulatory frameworks; ability to address risks while delivering impactful solutions. Ability to create design artifacts and present them for approval at architectural forums with multi-disciplined stakeholders from engineering to C-level executives. Strong understanding of modern Data & AI capabilities (structured/unstructured data analysis, streaming data, IoT, AI, GenAI, and related analytics fields). Experience in designing and delivering large-scale Data Platform solutions using approaches such as Lakehouse, Data Mesh, Fabric, and Cloud Scale Analytics; design for performance, security, and reliability. Comfortable leading sales and business development opportunities with clients. Advanced degree in a quantitative field or equivalent combination of education and experience is preferred. About Avanade
Avanade is the leading global provider of digital, cloud, AI and advisory services, industry solutions and design-led experiences across the Microsoft ecosystem. With 60,000 professionals in 26 countries, we innovate responsibly to make a real impact for our clients, their employees, and customers. EEO statement: Avanade believes in equal employment opportunities and does not discriminate on the basis of race, color, gender, religion, national origin, disability, veteran status, age, marital status, sexual orientation, genetic information, gender identity, or any other protected status as defined by law.
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Join to apply for the
Sr Data Engineering Architect, Manager
role at
Avanade . Our Data & AI team is composed of globally recognized experts, with room for more analytical and ambitious data professionals. If you are passionate about helping clients transform their business with the latest AI and data technologies, let’s talk and advance your career where you can do what matters. As a Lead Solution Architect
within our Data & AI Practice, you will use a client-centric approach to understand challenges and opportunities, delivering solutions that create transformative change and high-value business outcomes. You will engage in solutioning and support on strategic opportunities, intervene in high-risk, complex deliveries, and shape strategic direction using data platforms, reporting, self-service analytics, real-time intelligence, and AI engineering. Using modern data platforms, visualizations, advanced analytics, machine learning, IoT/digital twins and applied intelligence, we help clients gain business insights to optimize operations, drive innovation, and make empowered decisions. Responsibilities
Lead architectural work and provide technical leadership on client projects, shaping deals and propositions, driving architectural decisions, creating plans and roadmaps, and producing design artifacts. Play a key role in Avanade’s sales process by designing solutions that innovate, inspire, and win new business; responsible for high-level design, estimates, and contractual details for client proposals in collaboration with subject matter experts. Mentor and coach more junior colleagues, and motivate teams across the organization. Translate complex technical concepts into audience-appropriate language and value-based outcomes for senior business stakeholders, technology leaders, and internal sales teams. Engage early with clients and sales teams to support origination, requirements capture, and solutioning; build strong client relationships as a trusted advisor; participate in Deal Reviews and client negotiations. Collaborate with Data & AI leadership to shape current and future offerings, accelerators, and background IP to support GTM activities. Drive the evolution of best practices and methodologies for AI development, including data management, model training, fine-tuning, and deployment. Lead the development of data and analytics platforms, real-time intelligence and reporting solutions using Python, SQL, Microsoft Azure Data Services, Fabric and Databricks. Stay current with advancements in Data & AI technologies and incorporate relevant innovations into solutions. Identify and execute cross-industry solutions at scale for your region, including Data Migration, Automation Migration, Visualization/Reporting, and Core Data Platform Modernization and Governance. Drive measurable and sustained growth across the Data & AI Solution Area and integrate Data & AI into other Global Solution Areas, offerings, and GTM initiatives. Drive strong Managed Services and multi-year engagements for Data & AI. Qualifications
Excellent working knowledge of Microsoft and Databricks. Experience in Data, Applied Intelligence, Automation, IoT and related technologies. Awareness of channels to market and how to work in a Microsoft and partner ecosystem to ensure Customer Success. High energy and a proactive mindset to help clients understand the fast-moving AI industry, product, and service evolution. Experience creating technical visions, high-level architectures, and delivery roadmaps for large programs that involve latest AI concepts, especially scaling AI across enterprises. Deep understanding of responsible data platforms, migration principles, practices, and regulatory frameworks; ability to address risks while delivering impactful solutions. Ability to create design artifacts and present them for approval at architectural forums with multi-disciplined stakeholders from engineering to C-level executives. Strong understanding of modern Data & AI capabilities (structured/unstructured data analysis, streaming data, IoT, AI, GenAI, and related analytics fields). Experience in designing and delivering large-scale Data Platform solutions using approaches such as Lakehouse, Data Mesh, Fabric, and Cloud Scale Analytics; design for performance, security, and reliability. Comfortable leading sales and business development opportunities with clients. Advanced degree in a quantitative field or equivalent combination of education and experience is preferred. About Avanade
Avanade is the leading global provider of digital, cloud, AI and advisory services, industry solutions and design-led experiences across the Microsoft ecosystem. With 60,000 professionals in 26 countries, we innovate responsibly to make a real impact for our clients, their employees, and customers. EEO statement: Avanade believes in equal employment opportunities and does not discriminate on the basis of race, color, gender, religion, national origin, disability, veteran status, age, marital status, sexual orientation, genetic information, gender identity, or any other protected status as defined by law.
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