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 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
- Ability 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 enterprises
- Deep understanding of responsible data platform and migration principles, regulatory frameworks, and risk mitigation while delivering impactful solutions
- Capability in creating design artifacts and presenting them for approval at architectural forums
- Understanding 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 reliability
- Comfortable engaging and leading sales and business development opportunities with clients
About You
- You are passionate about tech and engaging with and advising clients
- Advanced degree in a quantitative field or equivalent combination of education and experience
- Proven success in consultative/complex technical sales and deployment projects, architecture, design, implementation, and support of highly distributed applications; experience with large enterprise cloud data projects
- Strong communication and collaboration skills; ability to influence remote teams and present to senior stakeholders
- Consultative, collaborative, relationship-builder; resilient, adaptable, and flexible; humble leader
- Passionate about tech and engaging with and advising clients
What 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 artifacts
- Contribute to Avanade's sales process by shaping high-level designs and collaborating with SMEs on proposals
- Mentor junior colleagues and promote knowledge sharing across the organization
- Translate complex technical concepts into audience-appropriate language and demonstrate value to senior business stakeholders
- Support early client conversations and deal qualification, capture requirements, and recommend best practices to achieve outcomes
- Collaborate with Data & AI leadership to shape offerings and go-to-market initiatives
- Drive data & AI platform development, real-time reporting, and governance initiatives
- Stay current with advancements in Data & AI and incorporate relevant innovations
- Identify cross-industry solutions at scale and pursue data migration, automation, visualization, and governance initiatives
- Support and drive multi-year engagements and managed services for Data & AI
Note: 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.