Avanade

Support Engineer

• Support and maintain Azure-based data solutions
• Monitor and troubleshoot failures in pipelines and jobs
• Develop automation scripts using Python or PowerShell
• Write, optimize, and troubleshoot SQL queries
• Provide L2/L3 support aligned with ITIL practices
• Participate in on-call rotations and handle critical incident response

Azure Data Support Engineer

Account Manager

• Build trusted client account relationships with stakeholders as well as clients
• Lead sales, revenue, delivery, and client satisfaction for Microsoft focused deliverables
• Work closely with Accenture Account Leadership to create, own, execute and maintain the plan for strategic business growth
• Act as a Trusted Advisor and build credibility through deep Microsoft product knowledge and consulting expertise
• Lead Solution Configuration and manage bid responses in response to RFPs and tenders.

Senior Tech Account Lead – Banking & Capital Markets

Account Executive

• Own net-new and expansion opportunities across a territory of small and mid-market customers
• Run a high-velocity pipeline, build repeatable plays, and lead co-sell motions with Microsoft
• Win Microsoft-powered services deals by running tight discovery
• Grow relationships through land-and-expand motions and clear account plans
• Develop and expand executive relationships

Business Development Sales Executive – SME&C

Manager

• Design new services to solve customer problems: Architect new service models, leveraging existing tools, accelerators and capabilities.
• Identify and design new AI-driven tools and methods to accelerate time to value and maximize outcomes delivered to customers.
• Industrialize Services Delivery: Bring the mindset and mechanics of software to services—codifying repeatable solutions, reusing shared capabilities, and driving predictable, scalable execution.
• Enable the Pre-packaged Services Model: Ensure all pre-packaged services are delivered through standardized methods, shared service capacity, reusable assets, and delivery governance.
• Establish Delivery Readiness: Partner with Solution & Delivery leaders to validate global readiness of every pre-packaged service team.
• AI-Enable Delivery Talent: Ensure our global workforce is enabled with AI tools, platform delivery models, and training to support the next generation of digital service delivery.
• Lead Scalable Service Design and Delivery: Drive the end-to-end execution of pre-packaged services across shared services, engineering hubs, and global delivery teams—ensuring consistent, repeatable, and high-quality outcomes.
• Build and Manage Delivery Capacity: Develop and execute workforce plans to meet demand across regions. Ensure the right mix of skills, flexibility, and scale to support the growing portfolio.
• Enable GTM Readiness: Partner with the GTM Product team to align delivery models, assets, and teams for seamless offer activation and global scale.
• Align with Shared Services: Collaborate with the Global Shared Services Lead to streamline delivery responsibilities, eliminate duplication, and ensure operational clarity across functions.
• Standardize and Industrialize Execution: Establish delivery playbooks, onboarding frameworks, and reusable assets to accelerate time-to-value and improve execution consistency.
• Deliver Insight-Driven Operations: Develop and maintain dashboards and performance reporting to monitor readiness, capacity, and cost-to-serve. Share insights with leadership to drive strategic investments and continuous improvement.
• Optimize Delivery Economics: Work with solutioning, delivery and shared service teams to model delivery costs, refine the offshore/onshore mix, and maximize cost-efficiency and margin.

Global Portfolio and Delivery Manager

Cloud Engineer

• Lead the design and governance of DevOps CI/CD strategies
• Architect and oversee implementation of Azure cloud solutions
• Define and enforce architectural standards across Azure environments
• Provide technical leadership across project teams
• Design secure, scalable, and resilient Azure architectures
• Lead technical assessments and cloud adoption strategies
• Conduct architectural and technical reviews
• Mentor and guide analysts and consultants
• Contribute to pre-sales activities including solution shaping

Azure Cloud Architect

Artificial Intelligence

• Architect and lead end‑to‑end Power Platform solutions, including Power Apps, Power Automate, Dataverse, Power Pages, and Copilot Studio.
• Design scalable, secure architectures covering environments, integrations, data, identity, and operations.
• Lead Copilot and AI solution design, ensuring responsible AI, compliance, and appropriate use of automation vs. AI.
• Define and enforce governance, security, and ALM strategies across enterprise Power Platform environments.
• Design resilient integrations using Power Platform, Azure services, APIs, and custom connectors.
• Guide teams on low‑code and pro‑code extensibility, ensuring alignment with enterprise standards.
• Act as a trusted advisor—leading solution workshops, contributing to delivery planning, and translating business needs into practical technical solutions.

AI Workforce Architect

Solutions Engineer

• Translate customer requirements into concrete, scalable AI solutions with measurable business value
• Design and implement architectures for Copilot, agent-based, and AI-powered business solutions
• Advise functional and technical stakeholders on the successful adoption and use of AI technologies
• Develop and deploy agent-based solutions and use prompt engineering to automate business processes
• Identify growth opportunities and evolve existing customer solutions together with technical and sales teams
• Conduct workshops, assessments, and training to drive adoption and change management
• Actively contribute to best practices, solution reuse (IP), and knowledge sharing within the organization
• Work closely with customers and internal teams to deliver sustainable, scalable, and secure solutions
• Continuously develop your own expertise in AI, Copilot, and modern architectures

Cloud Solution Architect – AI Business Solutions

Security Operations

• Deliver security monitoring and incident response services using Microsoft Sentinel
• Help clients detect, investigate, and respond to security threats in hybrid and cloud environments
• Contribute to the design, implementation, tuning, and ongoing operation of Sentinel-based security solutions
• Support clients in improving their security posture and operational maturity
• Work in a matrixed delivery environment with clients, internal security architects, and Microsoft-aligned teams
• Demonstrate Avanade’s values, professional consulting behaviors, and a strong focus on quality and outcomes

Manager, Security Operations – Sentinel

Analyst

• Support client engagements focused on data protection, data governance, and compliance initiatives.
• Assist with configuration and administration of Microsoft Purview capabilities (e.g., sensitivity labels/encryption, DLP policies, data classification/discovery, Insider Risk Management).
• Participate in requirements gathering, workshops, and documentation efforts.
• Execute assigned tasks within project plans and contribute to on-time, high-quality delivery.
• Develop technical documentation, configuration guides, and client-ready deliverables.
• Actively pursue learning, certifications, and hands-on experience in data protection technologies.
• Contribute to emerging areas such as AI and agentic AI security, under guidance.

Senior Data Protection Analyst

Consultant

• Lead or co-lead client engagements focused on data protection and data governance.
• Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced DLP policies/integrations, Purview DSPM, data lifecycle/retention controls).
• Perform threat mapping and gap analysis across structured, unstructured, cloud, and on-premises data.
• Facilitate client workshops and stakeholder discussions to translate requirements into scalable, secure Microsoft-based solutions.
• Own solution design decisions, configuration, and technical documentation.
• Provide technical mentorship to Analysts and Senior Analysts; lead workstreams or small teams.
• Contribute to estimations, delivery planning, and risk management.
• Support solutioning efforts, proposals, and internal capability development.
• Build awareness and controls for emerging AI and agentic AI security considerations (e.g., Security Copilot).

Data Protection Consultant

• Lead or co-lead client engagements focused on data protection and data governance
• Design and implement Microsoft Purview solutions (e.g., sensitivity labeling strategies, advanced DLP policies/integrations, Purview DSPM, data lifecycle/retention controls)
• Perform threat mapping and gap analysis across structured, unstructured, cloud, and on-premises data
• Facilitate client workshops and stakeholder discussions to translate requirements into scalable, secure Microsoft-based solutions
• Own solution design decisions, configuration, and technical documentation
• Provide technical mentorship to Analysts and Senior Analysts; lead workstreams or small teams
• Contribute to estimations, delivery planning, and risk management
• Support solutioning efforts, proposals, and internal capability development
• Build awareness and controls for emerging AI and agentic AI security considerations (e.g., Security Copilot)

Data Protection Manager

Frontend Engineer

• Develop, maintain, and enhance responsive web applications and user interfaces that provide an excellent user experience.
• Collaborate with designers, back-end developers, and product managers to translate requirements into functional and visually appealing websites and applications.
• Write clean, reusable, and efficient code using front-end technologies such as HTML5, CSS3, JavaScript, and modern frameworks like React or Angular.
• Perform cross-browser and cross-device testing to ensure compatibility and responsiveness.
• Optimize applications for maximum speed and scalability.
• Participate in code reviews, contribute to best practices, and suggest improvements to processes and applications.
• Troubleshoot and debug issues, providing timely fixes and enhancements.
• Stay up-to-date with emerging front-end technologies, trends, and industry best practices.
• Contribute to documentation and knowledge sharing within the development team.
• Additional duties as assigned.

Front End Developer – Mid-Level

Backend Engineer

• Develop and maintain data solutions using Python and PySpark.
• Work on the construction, evolution and support of ETL processes, ensuring data quality, reliability and consistency.
• Perform transactional and multidimensional data modeling to support analytical and operational needs.
• Create, optimize and maintain queries using SQL.
• Contribute to the definition and implementation of software architecture for data solutions.
• Use GitHub for code versioning and team collaboration.
• Plan, develop and execute tests to ensure the quality of deliveries.
• Collaborate closely with technical and business areas throughout the solution development lifecycle.

Senior Data Engineering Analyst – Python, PySpark

• Develop and maintain data solutions using Python and PySpark.
• Build, evolve, and maintain ETL processes, ensuring data quality and consistency.
• Perform transactional and multidimensional data modeling.
• Create, optimize, and maintain SQL queries.
• Contribute to the definition and implementation of software architecture in data solutions.
• Use GitHub for code versioning and team collaboration.
• Plan, develop, and execute tests, ensuring delivery quality.
• Work collaboratively with technical teams and business stakeholders.

Mid-level Data Engineer – Python, PySpark

Full-stack Engineer

• Design and build features and services that solve complex business problems and power enterprise scale systems.
• Build scalable server-side logic and REST APIs using C# and .NET Core/6+ or Java, ensuring efficient JSON data handling.
• Integrate applications with Azure PaaS services, including Azure App Services, Azure Functions, and Service Bus.
• Implement data access layers using Entity Framework in Azure SQL database.
• Collaborate with global teams to deliver high quality project outcomes.
• Communicate technical concepts clearly to both technical and nontechnical stakeholders.
• Act as a subject matter expert for clients, providing guidance on backend best practices and Azure application patterns.
• Utilize AI powered code agents for development.