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 an experienced, client-facing Data Architect to lead enterprise data strategy, architecture, and delivery across Azure Databricks, Microsoft Fabric, Power BI, and Azure.
You will advise business and technology leaders, modernize legacy platforms, and build secure, governed foundations for analytics, machine learning, generative AI, and intelligent applications.
Key Responsibilities
- Lead client assessments, architecture workshops, modernization strategies, and delivery roadmaps.
- Design secure, scalable lakehouse, warehouse, batch, streaming, and real-time solutions using Databricks, Fabric, Power BI, and Azure.
- Define data integration, modeling, governance, quality, metadata, lineage, observability, security, and cost-management standards.
- Establish semantic models, CI/CD, DevOps, DataOps, and deployment patterns for modern data platforms.
- Guide delivery teams through architecture reviews, technical decisions, performance optimization, and troubleshooting.
- Support proposals, estimates, demonstrations, reusable accelerators, and technical sales conversations.
- Mentor engineers and consultants while strengthening Lantern’s Microsoft and Databricks capabilities.
Skills, Knowledge and Expertise
- Extensive experience architecting and delivering enterprise data and analytics solutions in consulting or client-facing environments.
- Strong hands-on expertise across Azure Databricks, Microsoft Fabric, Power BI, and the Azure modern data platform.
- Proficiency in SQL and Python or PySpark, including batch, streaming, lakehouse, data warehouse, semantic-modeling, and medallion-architecture patterns.
- Working knowledge of data governance, security, quality, metadata, lineage, observability, CI/CD, DevOps, performance, and cost optimization.
- Excellent consulting, communication, workshop facilitation, stakeholder management, and technical leadership skills.
- Ability to translate business priorities into pragmatic architectures and phased delivery plans.
Preferred Certifications
- Databricks Solution Architect Champion
- Databricks Data Engineer Associate or Professional
- Microsoft Fabric Data Engineer Associate (DP-700) or Fabric Analytics Engineer Associate (DP-600)
- Power BI Data Analyst Associate (PL-300)
- Relevant Databricks, Azure AI, machine learning, or generative AI credentials
Lantern is committed to fair and equitable compensation practices. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
Colorado Salary Range
$130,000—$180,000 USD
Lantern is committed to fair and equitable compensation practices. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
Ontario Salary Range
$128,000—$180,000 CAD
