Jobs at Orion Innovation

The Senior Data Architect leads pre-sales engagements, designs end-to-end cloud and data architectures, and partners with clients on technological transformations while ensuring scalability, security, and alignment with business goals.

Senior Data Engineer responsible for designing and implementing scalable ETL/ELT pipelines, integrating enterprise systems, and building real-time and batch data solutions on Azure using Kafka, Spark and Databricks. Ensure data quality, availability, and performance while collaborating with data, architecture, and business teams.

Diseñar y optimizar pipelines CI/CD con GitHub Actions; administrar clusters Kubernetes (EKS) y contenedores Docker; gestionar imágenes en ECR; provisionar infraestructura con Terraform o CloudFormation; configurar CloudFront, Route 53 y S3; implementar monitoreo y observabilidad; y aplicar prácticas de seguridad (IAM, VPC, Secrets Manager, KMS, IRSA) para aplicaciones escalables y altamente disponibles.

Design, develop, optimize, and manage Azure SQL/SQL Server databases for cloud-native apps. Build T-SQL objects, ensure performance, security, and scalability. Implement CI/CD database deployments using PowerShell, Azure DevOps, and GitHub; perform schema versioning, migrations, partitioning, and production troubleshooting.

Design, develop, maintain and optimize ETL processes using Informatica PowerCenter. Build data transformation flows, develop Oracle SQL queries, create Shell scripts on Unix/Linux, monitor jobs with Control‑M, manage source control with Git/GitHub, and support Java microservice solutions following SOLID principles.

Senior individual contributor (15+ years) building a greenfield platform. Hands-on full-stack development with .NET/C# backend, Angular frontend, and Azure cloud architecture. Design and implement microservices, APIs, and messaging (Service Bus). Own end-to-end lifecycle from requirements to deployment using CI/CD, GitHub Actions, Terraform, PowerShell, and Azure CLI. Must have practical AI experience embedding tools (Copilot, Claude), agent frameworks, RAG, and AI-driven features within development workflows.

Migrate legacy data warehouse implementations to Databricks by interpreting T-SQL logic, converting transformations into optimized PySpark/Databricks pipelines, designing ETL/ELT jobs, performing data validation and testing, optimizing performance, documenting migration logic, and collaborating with architects and business teams.

Design, build, and optimize scalable data solutions enabling integration, processing, and availability of data for analytics, BI, and data science. Collaborate with multidisciplinary teams to implement ETL/ELT, data quality, testing, cloud deployments, APIs, and DevOps/DataOps practices across Azure and GCP.

The Azure Cloud Application Architect designs and implements cloud-native solutions on Azure, providing technical leadership and mentoring. Responsibilities include establishing governance, cost optimization, security best practices, and engaging in pre-sales and post-sales activities while collaborating with various teams.

Lead cloud pre-sales engagements: assess environments, design end-to-end AWS migration/modernization and managed services solutions, create proposals and pricing, respond to RFPs, and collaborate with sales and delivery to ensure smooth handoffs and reusable solution assets.

Lead pre-sales technical engagements and design end-to-end cloud, data, analytics, and AI/GenAI platform architectures. Conduct discovery, assessments, and workshops; produce solution blueprints, demos, and POCs; ensure scalability, security, and governance; guide modernization and migration strategies; collaborate with sales, delivery, and product teams; mentor junior engineers and create reusable solution patterns and dashboards.

Lead end-to-end cutover and Go-Live activities for SAP S/4HANA implementations. Plan and execute hour-by-hour cutover plans, coordinate cross-functional teams, run mock cutovers and war rooms, manage data migration and reconciliations, mitigate risks, oversee hypercare, and report to PMO and executives using corporate PMO tools.

Lead observability strategy and architecture using Dynatrace; define SLIs/SLOs, tagging, telemetry, and governance; integrate observability with CI/CD and ITSM; implement AIOps, automation, dashboards, alert tuning, and onboarding; drive SRE/DevOps alignment and stakeholder engagement.

Job posting contains company overview, equal opportunity and candidate privacy statements. No specific Deployment Engineer responsibilities, qualifications, or technical details were provided.

Design and develop information products to monitor business performance via executive, operational, and commercial dashboards, automated reports, scorecards; handle analytical requests, write SQL queries, and ensure data quality.

Design, develop, and execute test plans; perform manual and automated performance, functional, integration, API, and stress testing; identify and track bugs; collaborate with development and product teams; use Postman and Git; recommend optimizations.

Desarrollador .NET senior responsable de diseñar y desarrollar aplicaciones en C#/.NET (.NET Core), arquitecturas MVC/WebForms, integrar servicios SOAP/REST, usar WCF/Web API, escribir T‑SQL, aplicar pruebas unitarias e integración, participar en prácticas DevOps y seguridad de código. Trabaja bajo metodologías ágiles (Scrum). Conocimientos en Python, bases NoSQL y experiencia en ETL y CSP son valorados. Inglés avanzado indispensable.

Interns are placed in one of three tracks (Clinical Genomics, LIMS/Informatics, or Production Bioinformatics) to develop software, pipelines, and infrastructure using languages like Python/Java/JavaScript, assist in CI/CD, cloud, data analysis, and collaborate with engineers and scientists to build production-grade bioinformatics and laboratory systems.

Design, implement, deploy, and maintain enterprise Generative AI solutions on Azure. Integrate OpenAI and RAG approaches, build APIs using Python and .NET 8, collaborate in Agile teams, manage version control with Git, and ensure scalable, reliable AI system delivery.

Lead design, development, and deployment of Generative AI solutions using Azure OpenAI, Semantic Kernel, and langchain. Build CI/CD pipelines, ensure observability and system reliability, implement AI governance, collaborate with stakeholders, and apply Agile practices to deliver scalable AI applications.