Sr Data Engineering Architect, Manager

Overview

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Responsibilities

• As a Lead Solution Architect within the Data & AI Practice, leverage a client-centric approach to understand challenges and opportunities to deliver solutions and services that drive transformative change and high-value business outcomes. Engage in solutioning and support on strategic opportunities, intervene in high-risk complex deliveries, and shape the strategic direction using data platforms, reporting, self-service analytics, real-time intelligence and AI engineering.
• Use modern data platforms, visualizations, advanced analytics, machine learning, IoT / Digital Twins and applied intelligence to help clients gain insights, optimize operations, drive innovation and enable informed decisions.
• Engage in sales and business development opportunities with clients, shape high-level design, estimates and contractual details for proposals in collaboration with subject matter experts.
• Provide coaching and mentoring as a senior member of the technical community to motivate junior colleagues and share expertise 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.
• Lead early client conversations, support deal origination, requirements capture and solutioning, recommend best practices, and build strong client relationships as a trusted advisor.
• 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 abreast of the latest advancements in Data and AI technologies and incorporate relevant innovations into solutions.
• Identify relevant cross-industry, scalable solutions (Data Migration, Automation Migration, Visualization / Reporting, Core Data Platform Modernization and Governance) for your region and execute on them.
• Drive measurable and sustained growth across the Data & AI Solution Area and integrate Data & AI with other Global Solution Areas, offerings and go-to-market initiatives.
• Support and drive managed services and multi-year engagements for Data & AI.

Qualifications and Characteristics

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. Founded in 2000 as a joint venture between Accenture LLP and Microsoft Corporation, Avanade has more certifications, Gold-level competencies and valued professionals than any other Microsoft partner. Our 60,000 professionals in 26 countries innovate responsibly to make a genuine human impact for our clients, their employees and their customers.

Learn more about the types of projects our Analytics team works on and Avanade's client stories and insights at avanade.com.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

IT Services and IT Consulting

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