• Develop and maintain connectivity services supporting multiple protocols: MQTT, OPC, REST, Kafka, and others • Implement and manage OPC UA Server functionality • Ensure reliable data ingestion from diverse sources and systems • Transform data from any format to platform-native format • Handle data calculations, unit conversions, and calculation chaining • Develop data analysis and alarming subsystems • Build and maintain trending and historical data subsystems • Develop executor for user-defined Python scripts and SQL queries • Build and maintain service that handles and executes user-defined workflows and rule chains • Enable user customization and extensibility through scripting capabilities • Develop and maintain email notification infrastructure • Implement multiple messaging services including Slack, Google Chat, SMS, and others • Ensure reliable, timely delivery of notifications across channels • Develop and maintain authentication services • Second-Factor Security: Implement TOTP (Time-based One-Time Password) and other security measures • Ensure platform security and user data protection • Participate in architecture decisions with the development team • Contribute to functionality design and technical planning • Lead feature design from technical perspective • Provide ongoing support for deployed services and troubleshooting • Collaborate with frontend, QA, and product teams on feature development

• Architect and manage Databricks clusters, workspaces, and integrations with cloud services (Azure/AWS/GCP). • Implement CI/CD pipelines for Databricks notebooks and jobs. • Optimize cluster configurations for cost and performance. • Ensure compliance with security and governance standards. • Collaborate with data engineers and scientists to support data pipelines and ML workflows. • Conduct ETL and data quality analysis using various technologies (i.e., Python, Databricks). • Maintain good working relationships with accounts/clients to enhance customer satisfaction. • Ensure data governance and quality assurance standards are met. • Organize and lead meetings, including scheduling meetings; drafting and delivering agendas and meeting minutes; providing and archiving required documentation; and documenting, tracking, and following up on action items. • Summarize and present information and reports to the team and make recommendations (both oral and written).

• Define architectural standards and blueprints for hybrid cloud and on‑premise data platforms • Set and maintain best practices for scalability, reliability and maintainability • Evaluate and recommend technologies and methodologies aligned with business and compliance needs • Lead the design and integration of Spark‑based analytics, Kubernetes‑orchestrated workloads and GCP services • Document and communicate data architecture, integration patterns and workflows for technical audiences • Collaborate with engineering and business teams on data analytics platform initiatives • Guide teams through migration, modernization and optimization projects • Support teams in troubleshooting, performance tuning and strategic planning

• Deliver Value: Develop software features for relatively complex features with the support of more senior engineers during AgileDev engagements and address defects and enhancement requests. • Develop Collaboratively: Participate in successful Agile delivery by seeking guidance, raising concerns, advancing best practices, identifying blockers, and mentoring peers and more junior team members. • Become Fullstack: Demonstrate competency at two of the following: building attractive user interfaces, building data driven REST APIs, administering databases/cloud/servers. • Communicate Value: Collaborate with client stakeholders during sprint planning to finalize and document technical approach with user stories as subtasks. Discuss (not just accept) requirements, iterate. Communicate status. • Key Activities: Ensuring the team understands acceptance criteria, tracking daily progress, limit team’s QA kickback, deliver stories as assigned, find opportunities to increase capacity and velocity • How a Current Praxenter Describes The Role: “I spend a lot of the sprint planning and delegating technical work for other devs, anticipating how to deliver as much value for the client via efficiency and tech debt prevention. This has the added benefit of allow assigned devs to grow technically while also reducing as many unknowns as possible in the cone of uncertainty. It’s my job to keep in sync with delivery leads on priorities, team allocation, risks, etc, as well as act as the technical interface for the client to help guide them without overloading them with technical jargon.”