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Sr Data Engineering Architect, Manager

Sr Data Engineering Architect, Manager

AvanadeColumbus, OH, US
1 day ago
Job type
  • Full-time
Job description

Overview

Sr Data Engineering Architect, Manager at Avanade. Lead Solution Architect within the Data & AI Practice, focusing on client challenges to deliver solutions and services that create high-value business outcomes. Leverage data platforms, reporting, self-service analytics, real time intelligence and AI engineering to drive transformative change.

Responsibilities

  • Provide technical leadership on client projects, shape deals and propositions, drive architectural decisions, create plans and roadmaps, and produce design artifacts.
  • Play a key role in Avanade's sales process by designing solutions that innovate, inspire and win new business; shape high-level design, estimates, and contractual details for client proposals in collaboration with subject matter experts.
  • Mentor junior colleagues and coach the wider technical community to motivate and inspire teams.
  • Translate complex technical concepts into audience-appropriate language 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 to become a trusted advisor; participate in Deal Reviews and client presentations / negotiations.
  • Collaborate with Data & AI leadership to shape current and future offerings, accelerators and background IP to support GTM activities.
  • Drive evolution of best practices and methodologies for AI development, including data management, model training, fine-tuning and deployment.
  • Lead 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 advances in Data & AI technologies and integrate relevant innovations into solutions.
  • Identify and execute cross-industry solutions-at-scale for the region, including Data Migration, Automation Migration, Visualization / Reporting and Core Data Platform Modernization and Governance.
  • Drive measurable growth across the Data & AI Solution Area and collaborate with other Global Solution Areas for integrated offerings and go-to-market initiatives.
  • Support strong Managed Services and multi-year engagements for Data & AI.

Qualifications & Skills

  • 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, able to help clients understand the fast-moving AI industry, product and service evolution.
  • Experience creating technical visions, architectures and delivery roadmaps for large programs involving AI concepts, focused on scaling AI across enterprises.
  • Deep understanding of responsible data platform and migration principles, regulatory frameworks, and risk mitigation with rapid delivery of impactful solutions.
  • Ability to create design artifacts and present for architectural forums with multi-disciplinary stakeholders from engineering to C-level executives.
  • Understanding of modern Data & AI capabilities (structured / unstructured data analysis, streaming, IoT, AI, GenAI, related analytics).
  • 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

  • Passionate about technology 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 and implementation of distributed applications; extensive experience with large enterprise accounts and cloud data workloads.
  • Strong collaboration, decision-making, conflict resolution, and communication skills; ability to lead remote teams and drive customer project success.
  • Consultative, collaborative relationship builder; resilient, adaptable, humble leadership with negotiation skills.
  • Passionate about technology and client advisory (repeated for emphasis).
  • What You'll Do

  • As an architect on a client project, provide technical leadership, shape deals and propositions, drive architectural decisions, create plans / roadmaps and produce design artifacts.
  • Contribute to Avanade's sales process by designing solutions that win new business and shaping high-level design, estimates and contractual details.
  • Mentor colleagues and foster a collaborative technical community.
  • Translate complex concepts for senior stakeholders and internal teams, aligning solutions with business value.
  • Engage in early client conversations, support deal origination and requirements capture, and present the solution in Deal Reviews and client negotiations.
  • Collaborate with Data & AI leadership to evolve offerings and accelerators supporting GTM activities.
  • Drive AI development practices across data management, model training, fine-tuning and deployment.
  • Lead development of data and analytics platforms using Python, SQL, Azure Data Services, Fabric and Databricks.
  • Stay abreast of AI tech advances and incorporate relevant innovations into solutions.
  • Identify cross-industry, scalable solutions for the region and drive Data & AI modernization and governance.
  • Drive growth across the Data & AI Solution Area and support integrated offerings with other Global Solution Areas.
  • Foster strong Managed Services and multi-year Data & AI engagements.
  • Additional Information

    Avanade is the leading global provider of digital, cloud, AI and advisory services within the Microsoft ecosystem."

    Inclusion & Diversity : Avanade is committed to equal employment opportunities and does not discriminate based on race, color, gender, religion, national origin, disability, veteran status, age, marital status, sexual orientation, genetic information, gender identity, or any other legally protected status.

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