Jobs at Nasstar

Own Databricks-centric presales: lead discovery, design Lakehouse reference architectures, run demos/POCs, produce RFPs/SOWs, and align Sales, Delivery, and Databricks partner teams to win data engineering, MLOps, and GenAI deals.

Facilitate workshops to define AI agent use cases; design, configure and deploy agents using Copilot Studio and Microsoft AI tools; integrate with Power Platform and enterprise data; test, iterate, scale and hand over solutions while enabling governance, training, and stakeholder alignment.

Drive new logo acquisition (80%) and expand existing Nasstar accounts (20%) by leading consultative Microsoft Data & AI solution sales, collaborating with Microsoft sellers, managing end-to-end sales cycles, delivering presentations/demos, and executing go-to-market and account growth strategies.

Client-facing Principal Data Engineer leading design and delivery of enterprise Databricks-based data platforms. Provide architecture leadership, mentor engineering teams, drive platform optimisation, define standards, support technical governance, and deliver across multiple consultancy engagements.

Client-facing role designing, building, and maintaining scalable Azure cloud infrastructure and data platforms. Lead IaC implementations, CI/CD automation, container orchestration, security and governance, managed services, and mentor teams to deliver reliable cloud solutions.

Lead design and implementation of data governance and MDM strategies, develop policies and metadata/lineage practices, enforce data quality, deploy governance tooling, engage stakeholders, ensure regulatory compliance, and mentor team members.

Lead client-facing delivery of data, AI, and digital transformation programmes: plan, mobilise, track risks/finances, manage stakeholders and cross-functional teams, support commercial health and business development, and evolve delivery practices.

Design, build, and deploy AI systems (predictive models, NLP, generative AI) from PoC to production. Work with clients to define use cases, prepare large datasets, implement deployment and monitoring pipelines using cloud-native tools, and collaborate with cross-functional teams to operationalize AI solutions.

Client-facing cloud engineer designing, building, and operating scalable AWS infrastructure and data-platform foundations. Lead IaC implementations, CI/CD automation, container orchestration, security and governance, managed services, technical presales, and mentor junior engineers.

Design, build, and maintain scalable cloud-based data platform and ETL pipelines on Azure. Develop data models, ensure data quality, optimize performance, implement governance and security, and collaborate with stakeholders and data scientists to enable data-driven solutions.

Serve as the primary client-facing delivery lead for data, AI, and digital transformation programmes. Drive planning, mobilisation, governance, RAID/change control, financial tracking, stakeholder communication, cross-functional team management, sales-to-delivery handover, and commercial health. Contribute to delivery practice improvements and support proposals and revenue recognition.