Data and AI Consultant

At Lantern, our company culture stands as the bedrock of our success and a source of pride for our teams. We firmly believe that a culture founded on trust forms the basis for enduring relationships with clients, colleagues, and partners.

Within this culture, we nurture an environment of respect, inclusion, and belonging, fostering collaboration among inspired teams. We prioritize the well-being of our colleagues, the success of our clients, and our positive impact on society.
Embracing a growth mindset where curiosity thrives, we celebrate excellence and value individuals who inspire and mentor others, elevating the collective. Our driving force lies in personal and business growth. We go above and beyond to surprise and delight our clients, delivering tangible business value. In facing challenges, we make tough choices and solve complex problems to positively influence our clients, their customers, and the world at large.
As a Microsoft services partner, we hold ourselves to the highest standards of technical excellence. This commitment to quality is evident not only in our work but also in how we support and empower our employees. At Lantern, our culture mirrors our core values and unwavering dedication to realizing our purpose and vision, making it a dynamic and fulfilling workplace. Together, we transcend the ordinary and achieve extraordinary results.

Data Architect 

Lantern is seeking a hands-on, client-facing Senior Consultant, Data & AI to design and deliver modern data, analytics, and AI solutions across Azure Databricks, Microsoft Fabric, Power BI, and Azure. 

You will work directly with client stakeholders and Lantern delivery teams to translate business needs into secure, governed, and scalable solutions that support analytics, machine learning, generative AI, and intelligent applications. 

Key Responsibilities

• Facilitate discovery sessions, gather requirements, and translate business needs into practical solution designs and delivery plans. 
• Design, build, test, and deploy lakehouse, warehouse, batch, streaming, and real-time data solutions using Databricks, Fabric, Power BI, and Azure. 
• Develop data pipelines, transformations, models, semantic layers, dashboards, notebooks, and reusable technical components. 
• Apply data governance, quality, metadata, lineage, observability, security, and cost-management practices throughout delivery. 
• Implement CI/CD, DevOps, DataOps, source-control, testing, and deployment patterns for modern data platforms. 
• Own assigned workstreams, communicate progress and risks, troubleshoot issues, and help deliver high-quality outcomes on time.