Jobs at Collectiv

Designs and supports modern data platforms using Microsoft Fabric and Databricks. Builds scalable ingestion, transformation, orchestration, lakehouse, semantic modeling, and analytics solutions. Translates client business requirements into technical designs, optimizes SQL and Spark workloads, ensures data quality and performance, and enables Power BI reporting. The role is client-facing, collaborative, and consulting-oriented, requiring stakeholder communication, documentation, and adherence to engineering and delivery best practices.

Design and implement lakehouse architectures, data pipelines, semantic models, and enterprise Power BI dashboards using Microsoft Fabric and Databricks. Optimize SQL, Spark, and DAX workloads while ensuring data quality, scalability, security, and maintainability. Consult with enterprise clients, translate business needs into technical solutions, provide platform guidance and training, manage stakeholders, and contribute to internal engineering standards and reusable practices.

Build and deploy production generative AI solutions using Microsoft 365 Copilot, Copilot Studio, and Azure AI Foundry. Responsibilities include developing agents, RAG pipelines, integrations, evaluation frameworks, monitoring, security controls, and CI/CD practices. The role involves working directly with client stakeholders to scope solutions, demonstrate progress, train users, and support adoption. Candidates need software or data engineering experience, hands-on LLM development, Azure expertise, and strong Python or C# skills.

Leads client-facing data and analytics projects from discovery through delivery. Responsibilities include managing scope, timelines, budgets, risks, teams, and stakeholders; gathering requirements; translating business needs into technical specifications; overseeing data integration, dashboards, reporting solutions, quality assurance, training, and adoption. The role requires project management expertise, Microsoft Data Stack and Power BI experience, business analysis, SQL, data visualization, Agile methodologies, and strong consulting and communication skills.