Overview
Sr Data Engineering Architect, Manager at Avanade. Our Data & AI team helps clients transform their business with the latest AI and data technologies. This role focuses on solutioning, guiding complex deliveries, and shaping strategy using data platforms, reporting, 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 solution architecture for client opportunities, engaging in solutioning and supporting on strategic opportunities, and contributing to the strategic direction of data platforms, reporting, self-service analytics, real-time intelligence and AI engineering.
- Intervene in high-risk, complex deliveries and shape architectures that deliver high-value business outcomes.
- Design and present design artifacts for architectural forums attended by multi-disciplined stakeholders from engineering to senior client executives.
- Lead the evolution of data and AI capabilities (structured / unstructured data analysis, streaming data, IoT, AI, GenAI) and the deployment of data platform solutions (Lakehouse, Data Mesh, Fabric, Cloud Scale Analytics, etc.).
- Engage with sales teams to shape deals, provide high-level design, estimates and contractual details for client proposals, and support deal qualification and origination.
- Collaborate with Data & AI leadership to shape offerings, accelerators, and background IP to support GTM activities.
- Drive best practices for AI development, including data management, model training, fine-tuning, and deployment, and lead multi-year engagements in Data & AI.
Qualifications
Excellent working knowledge of Microsoft and DatabricksExperience in Data, Applied Intelligence, Automation, IoT and related technologiesAwareness of channels to market and how to work in a Microsoft and partner ecosystem to ensure customer successAbility to articulate technical visions, high-level architectures, and delivery roadmaps for large programs involving the latest AI concepts, with a focus on scaling AI across enterprisesDeep understanding of responsible data platform and migration principles, regulatory frameworks, and risk mitigation while delivering impactful solutionsCapability in creating design artifacts and presenting them for approval at architectural forumsUnderstanding of modern Data & AI capabilities (structured / unstructured data, streaming, IoT, AI, GenAI)Experience designing and delivering large-scale data platform solutions using Lakehouse, Data Mesh, Fabric, Cloud Scale Analytics, etc., with attention to performance, security, and reliabilityComfortable engaging and leading sales and business development opportunities with clientsAbout You
You are passionate about tech and engaging with and advising clientsAdvanced degree in a quantitative field or equivalent combination of education and experienceProven success in consultative / complex technical sales and deployment projects, architecture, design, implementation, and support of highly distributed applications; experience with large enterprise cloud data projectsStrong communication and collaboration skills; ability to influence remote teams and present to senior stakeholdersConsultative, collaborative, relationship-builder; resilient, adaptable, and flexible; humble leaderPassionate about tech and engaging with and advising clientsWhat You'll Do
As an architect on a client project, provide technical leadership, shape deals and propositions, drive architectural decisions, create plans and roadmaps, and produce design artifactsContribute to Avanade's sales process by shaping high-level designs and collaborating with SMEs on proposalsMentor junior colleagues and promote knowledge sharing across the organizationTranslate complex technical concepts into audience-appropriate language and demonstrate value to senior business stakeholdersSupport early client conversations and deal qualification, capture requirements, and recommend best practices to achieve outcomesCollaborate with Data & AI leadership to shape offerings and go-to-market initiativesDrive data & AI platform development, real-time reporting, and governance initiativesStay current with advancements in Data & AI and incorporate relevant innovationsIdentify cross-industry solutions at scale and pursue data migration, automation, visualization, and governance initiativesSupport and drive multi-year engagements and managed services for Data & AINote : This description reflects responsibilities and qualifications for the Sr Data Engineering Architect, Manager role at Avanade and may include references to Avanade-specific practices and offerings.
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