Wavicle Data Solutions

AI Engineer

• Design and build applications powered by large language models, leveraging both commercial APIs and open-source models.
• Implement RAG pipelines, preprocessing workflows, and orchestration to coordinate LLMs, external tools, and APIs.
• Fine-tune, optimize, and deploy models in cloud environments, ensuring scalability, reliability, and performance.
• Design and deploy agentic AI systems that enable LLMs to autonomously plan, choose tools, and adapt workflows to complete complex tasks.
• Establish monitoring, testing, and responsible AI safeguards to validate outputs, drive continuous improvement, and ensure compliance with privacy and security standards.
• Build APIs and microservices that integrate LLM capabilities into larger systems, collaborating with cross-functional teams to align solutions with business needs.

Scrum Master

• Delivering real business results through intelligent transformation
• Modernizing data platforms
• Enabling AI-driven decision-making
• Accelerating time-to-value across industries

Health Care Project Manager, Scrum Master

Backend Engineer

• Help organizations unlock the full potential of cloud, data, and AI
• Deliver real business results through intelligent transformation
• Modernize data platforms
• Enable AI-driven decision-making
• Accelerate time-to-value across industries

API Engineer

Manager

• Manage client expectations with client executive leadership.
• Understand a client’s current business challenges and identify potential solutions in overcoming that business challenge leveraging data and/or analytics.
• Participate in the end-to-end business development lifecycle in selling additional work to existing clients (land and expand). In addition, participate in new sales opportunities for new clients.
• Participate in creating thought provoking proposals that will demonstrate Wavicle's niche experience in the data & analytics space.
• Ensure that project(s) are done on time, within budget and meet and/or achieve client expectations.
• Be hands-on as necessary. Due to the nature of our projects, it is important that an EM can play a role on a project (i.e. project manager, business analysis, etc.) if needed.
• Communicate with our leaders and team members in our various offices (U.S., Canada and India) to ensure project alignment.
• Meet annual sales revenue goals.

Engagement Manager, Retail

Solutions Engineer

• Lead the current state assessment of Client's data platform, including architecture, tooling, data governance, and data flows.
• Design a future-state logical architecture based on: business and customer needs, third-party research and benchmarks, prior experience with large-scale data platforms.
• Develop a multi-phase roadmap for platform modernization, including migration strategy, capability buildout, and stakeholder alignment.
• Facilitate executive and stakeholder workshops to gather input, validate direction, and drive consensus.
• Collaborate with data engineering, analytics, and IT teams to ensure feasibility and scalability of proposed solutions.
• Provide guidance on data governance, security, and compliance in the context of the new architecture.

Solution Architect – Contract

• Lead the approach and design for cloud native architectures around Azure and specifically Fabric
• Define architecture blueprints, design patterns, and technical roadmaps aligned to client business goals.
• Collaborate with delivery teams to ensure seamless transition from pre-sales to implementation.
• Lead solution architect for our clients and projects related to Azure.
• Partner with sales to identify opportunities, shape proposals, and present Azure-native solutions that resonate with both technical and business audiences.
• Represent Wavicle in presentation and meetings with Senior Leadership and C-Suite.
• Lead client workshops and executive briefings to define technology vision and roadmap.
• Stay current on Azure, Fabric and like.
• Work cross-functionally with sales, delivery, and practice.
• Mentor junior architects and engineers to build enterprise-ready communication and solutioning skills in Azure-native architectures.

Azure & Fabric Solution Architect

• Lead the approach and design for cloud native architectures
• Define architecture blueprints, design patterns, and technical roadmaps aligned to client business goals.
• Collaborate with delivery teams to ensure seamless transition from pre-sales to implementation.
• Partner with sales to identify opportunities, shape proposals, and present Azure-native solutions that resonate with both technical and business audiences.
• Be the leader for closing accounts working with our Sales, Practices, and Alliances teams.
• Represent Wavicle in presentations and meetings with Senior Leadership and C-Suite.
• Lead client workshops and executive briefings to define technology vision and roadmap.
• Stay current on technology and data/analytics market.
• Work cross-functionally with sales, delivery, and practice

Senior Solution Architect – Strategy, Roadmap

• Solution Design: Develop data architecture solutions and reference architectures for customers using Databricks.
• Customer Engagement: Work closely with clients to understand their business goals and technical needs, ensuring optimal use of the Databricks platform.
• Pre-Sales Support: Provide technical expertise during the pre-sales process, conducting workshops and proof-of-concept (POC) projects.
• Technical Leadership: Lead complex projects involving Databricks integration with cloud environments such as AWS, Azure, or GCP.
• Performance Optimization: Help customers optimize performance for large-scale data processing, streaming, and machine learning workflows on Databricks.
• Training and Mentorship: Guide customers and internal teams on best practices in data engineering, machine learning, and AI using Databricks.
• Collaboration: Work cross-functionally with engineering, product, and sales teams to deliver successful implementations.
• Market Strategy: Help the company identify market needs, define a Go To Market strategy, and execute on that strategy

Databricks Solutions Architect

Technical Project Manager

• Strong Project Management Skills. Strong interpersonal and communication skills including the ability to influence others' behaviors, breakdown barriers, build trust and foster collaboration. Develop detailed project plans and associated communication plans/materials.
• Leads data & analytics development projects which support the organization's objectives and plans. Reviews the progress of development projects, ensuring that projects are carried out in accordance with agreed standards (including industry & the clients standards), methods and procedures.
• Facilitates open communication and discussion between project stakeholders. Negotiates with stakeholders at senior levels and ensures that organizational policy and strategies are adhered to.
• Managing the planning of data & analytic projects, including milestone and detailed project plans.
• Leading project teams in successful project execution including managing scope, change management, resource management, risk management, issue management, and quality assurance.
• Collaborating with resource managers to solidify and manage resource plans to ensure capacity is available to meet expected project demand.
• Delivering quality data & analytic solutions that meet the constraints of time, cost and scope.

Senior Technical Project Manager – Contractor

Full-stack Engineer

• Design, develop, and maintain cloud-native applications leveraging **AWS Aurora (MySQL)** for database management.
• Build and optimize **serverless APIs** using **AWS Lambda (Python)** and **API Gateway**.
• Implement and maintain responsive front-end interfaces using **Vue.js** and the **Quasar framework**.
• Create dynamic, interactive data visualizations with **HighCharts**.
• Integrate and secure data flows between front-end and backend components through RESTful API design.
• Optimize database performance, ensure data integrity, and troubleshoot cloud infrastructure issues.
• Collaborate with cross-functional teams to deliver high-performance, user-centric solutions.

Full Stack Developer – Contractor

• Architect & Design: Lead the technical design and implementation of enterprise-grade solutions on the Microsoft Azure platform, ensuring they meet standards for security, scalability, and performance. This includes translating complex business requirements into clear, comprehensive architectural blueprints.
• DevOps Leadership: Champion and implement DevOps best practices, including building and managing robust CI/CD pipelines, utilizing Infrastructure as Code (IaC), and establishing comprehensive monitoring and alerting strategies.
• AI Integration: Design and integrate Artificial Intelligence and Machine Learning services (e.g., Azure AI, Azure OpenAI) into new and existing applications to unlock business value and drive innovation.
• Technical Strategy: Collaborate closely with product managers, engineers, and business leaders to translate complex requirements into technical blueprints and strategic roadmaps that align with Avery Dennison's long-term goals.
• Problem Solving: Act as the ultimate escalation point for complex technical challenges, dissecting root causes and architecting elegant, effective solutions.
• Mentorship: Provide technical guidance and mentorship to development teams, fostering a culture of technical excellence and continuous improvement.
• Communication: Clearly and effectively communicate architectural designs, strategies, and trade-offs to both technical teams and non-technical stakeholders.
• Industry and Business Acumen: Collaborate with stakeholders in the apparel, manufacturing, and sports industries to understand their unique business challenges. Architect solutions that enhance core capabilities like supply chain visibility, inventory management, and digital customer engagement, leveraging knowledge of the apparel and embelex business.

Azure Solution Architect

• Azure Solution Architect to design, build, and implement robust cloud solutions using Microsoft Azure
• Role combines strategic architecture planning with active participation in coding, deployment, and troubleshooting; lead by doing
• Partnerships with AWS, Databricks, Google Cloud, and Azure for cutting-edge solutions
• Over 500 team members across 42 cities in the U.S., Canada, and India; flexible, digitally connected work environment
• We invest in our people through competitive compensation and bonuses, unlimited paid time off, health, retirement, and life insurance plans, long-term incentive programs, and meaningful work
• If you’re passionate about solving complex problems, exploring what’s next in AI, and being part of a team that values delivery excellence and career development—you’ll feel right at home here.