66degrees

Implementation Specialist

• Lead internal implementation efforts for the new ClickUp platform, working collaboratively with our team and the external vendor.
• Execute data migration by transferring existing workflows and data from legacy systems (Smart Sheet) into ClickUp.
• Create user documentation, developing simple step-by-step guides with screenshots to train new employees on the finalized ClickUp processes.
• Transition to client engagement (post-rollout/full-time conversion) to fulfill vendor assessment requests, communicating with clients via email and phone

ClickUp Implementation Specialist – Contract

Architect

• Lead and architect complex, enterprise-scale data migrations, specifically from Microsoft 365/Exchange environments to Google Workspace, ensuring data integrity, minimal disruption, and successful user adoption.
• Act as the lead technical authority on flagship client projects, architecting sophisticated solutions using Google Apps Script, APIs, low-code platforms, and emerging AI Agentic Frameworks.
• Lead the architecture of AI Agent solutions, defining agentic workflows, tool integration, memory systems, and governance models to automate complex business processes.
• Develop robust governance models, security frameworks, and technical roadmaps that encompass platform migrations, existing systems, and AI-driven solutions.
• Create and evangelize architectural best practices for the entire digital workplace, ensuring solutions are secure, scalable, and adopted by users.
• Function as a key technical strategist during the pre-sales cycle, validating solutions and providing expert estimates for migration projects, platform enhancements, and AI initiatives.
• Join client-facing workshops to uncover opportunities for transformation, from initial platform selection to advanced automation.
• Contribute to the technical sections of proposals and Statements of Work (SOWs), ensuring accuracy and feasibility for complex migration scopes.
• Act as a key mentor and technical escalation point for the digital workplace team, especially on migration and coexistence strategies.
• Identify and help develop new service offerings and intellectual property related to migrations, automation, and AI agents.
• Analyze industry trends in both platform migration and generative AI to inform the strategic direction of the practice.

Workspace Architect

Cloud Engineer

• Build a trusted advisory relationship with strategic accounts and engage with management.
• Act as a technical subject matter expert, particularly regarding the Google Cloud ecosystem for business users, providing clear and concise explanations of complex concepts.
• Identify customer priorities, technical objections, and design strategies encompassing the Google ecosystem to deliver business growth and resolve blockers.
• Lead requirements gathering and project scoping.
• Solution design, problem-solving, and architecture diagramming.
• Provide domain expertise around public cloud and enterprise technology, and effectively promote Google Cloud with clients, at conferences, and online.
• Provide technical expertise to the team on continuous integration/continuous delivery, infrastructure, monitoring, alerting, and security.
• Provide recommendations on integration strategies, enterprise architectures, platforms, and application infrastructure needed to implement a complete solution for clients.
• Assist in delivering technical solutions to meet customer functional needs and improve service reliability, including CI/CD pipelines and infrastructure builds/migrations.
• Provide Engineer-to-Engineer and Architect-to-Engineer support, including whiteboard sessions and informal Q&A.
• Travel to customer sites, conferences, and other related events as required.

Cloud Architect – Contract

• Lead collaborations with architects and teams to design highly scalable and resilient infrastructure solutions on GCP.
• Drive the implementation of advanced Infrastructure as Code (IaC) principles using tools like Terraform or Google Cloud Deployment Manager to automate intricate infrastructure provisioning and management.
• Spearhead the integration of DevOps methodologies, guiding developers to establish sophisticated CI/CD pipelines within the cloud ecosystem.
• Assume a leadership role in implementing and enforcing stringent security measures and ensuring robust compliance with data privacy regulations (e.g., GDPR, HIPAA) in the GCP environment.
• Architect and establish comprehensive monitoring, alerting, and logging solutions to guarantee the continuous health and availability of all infrastructure components.
• Formulate and oversee comprehensive backup and disaster recovery strategies and procedures for mission-critical systems.
• Proactively identify, analyze, and mitigate complex performance bottlenecks, continually optimizing infrastructure for maximum efficiency.
• Take charge of diagnosing and swiftly resolving intricate infrastructure issues, providing expert guidance and support.
• Drive comprehensive documentation of cloud architecture, configurations, and processes, ensuring a clear knowledge repository and promoting thorough system understanding.
• Lead cross-functional collaboration with diverse teams, including data scientists, engineers, analysts, and software developers, ensuring alignment with requirements and delivering innovative solutions.

Cloud Engineer – Contract To Hire

Data Engineer

• Design, build, and maintain robust and scalable data pipelines to ingest, transform, and load data from various sources into the Azure data platform.
• Leverage the Microsoft Fabric ecosystem to unify data storage and analytics.
• Collaborate with analytics teams to optimize data structures for Power BI reporting.
• Architect and maintain automated CI/CD pipelines using Azure DevOps.
• Develop and implement conceptual, logical, and physical data models for data warehouses and data lakes.
• Manage data storage and organization within Azure Data Lake Storage Gen2 and Fabric OneLake.
• Utilize tools like dbt within the Azure ecosystem to transform raw data into analytics-ready datasets.
• Integrate and work with a variety of Azure services to build a comprehensive data solution.
• Implement and maintain data security best practices.