Senior Software Engineer II

Role Responsibilities

• Technical Leadership & Architecture
• Architect and own scalable, cloud-native data pipeline solutions integrating data systems across the SDP platform
• Define system architecture, data flows, and service boundaries across ingestion, pre-analysis, analysis, alerting, and monitoring pipelines
• Create and maintain architecture diagrams, blueprints, and reusable design patterns that guide development teams
• Drive technology decisions, platform standards, and architectural guidelines; lead architecture reviews and technical decision
• Data Pipeline & Cloud Platform Engineering
• Lead design and implementation of data collection, pre-analysis, analysis, forecasting, alert, and VMM pipelines, ensuring data quality, reliability, and validation
• Own solution delivery on Azure-based platforms including Azure Functions, pipeline scheduling, cloud storage, and data lake integration across DEV, UAT, and PROD environments
• Define and enforce best practices for CI/CD pipelines, infrastructure automation, and observability frameworks (logging, alerting, monitoring dashboards)
• System Integration & Software Delivery
• Lead integration of measurement systems (lidar, met mast, sensor networks) with enterprise IT platforms, ensuring data consistency, reliability, and traceability
• Lead end-to-end feature delivery (Design → Build → Deploy → Operate); review and approve code across multiple services, enforcing security, performance, and coding standards
• Technical Governance, Stakeholder Collaboration & Mentorship
• Define and enforce engineering standards, coding guidelines, and architectural patterns; ensure compliance with enterprise architecture and data governance policies
• Act as primary technical liaison between product owners, business stakeholders, and development teams, translating business requirements into technical architectures and delivery plans
• Mentorship & Engineering Culture
• Mentor engineers across multiple levels; lead knowledge sharing, documentation, and capability-building initiatives that foster a culture of engineering excellence and continuous improvement

Job Requirements and Experiences

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent industry certification/experience
• One or more of the following certifications strongly preferred: Microsoft Azure certifications (e.g., AZ-900, AZ-204, AZ-305) or equivalent cloud platform credential
• Minimum 7 years of relevant software engineering or data platform experience, including hands-on development and technical leadership roles
• Proven experience designing and managing complex, multi-stage data pipelines (ingestion, analysis, forecasting, alerting)
• Demonstrated experience architecting and delivering solutions on Azure-based platforms, including Kubernetes (AKS), Containers, Azure Functions, data lake integration, and multi-environment deployment management
• Experience with distributed systems, microservices, messaging systems (e.g., RabbitMQ), event-driven architecture, and API design and integration
• Experience in designing access control for applications, specifically design and/or sign off on access control schemes for human-to-system, and system-to-system access
• Experience leading complex, enterprise-scale IT implementations involving coordination of multiple workstreams and multi-level stakeholder communications, delivering in Agile or hybrid methodologies
• Strong background in frontend development using React and Typescript, backend development using C#, Python, Terraform, or equivalent infrastructure as code experience; experience with SQL querying, large-scale datasets, and data formats such as Parquet and CSV
• Experience with both Linux and Windows server to be able to own Dockerfiles for both platforms and own SDP's 3rd party integrations (like with Bullfrog)
• The following experience is a plus:
• Experience with Dapr (Distributed Application Runtime)
• Measurement systems (lidar, met mast, SCADA, or sensor networks) and operational data ingestion
• Time-series ML pipelines, forecasting model integration, or data science workflow design
• Clima, mesoscale, or wind resource assessment data processing workflows
• Hands-on experience with Azure Databricks and Delta Lake, including medallion architecture (Bronze/Silver/Gold), Structured Streaming, and Delta Live Tables/Lakeflow pipelines
• Experience with Apache Airflow (DAG authoring, task orchestration, scheduling, and monitoring)

Benefits

• Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays.
• Eligible employees also participate in short-term incentives, in addition to salary.