Data Architect

Lantern

$130K — $180K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in enterprise data and analytics solutions
  • Strong hands-on skills with Azure Databricks, Microsoft Fabric, Power BI, and Azure
  • Proficient in SQL and either Python or PySpark
  • Knowledge in data governance, security, and quality standards
  • Excellent communication and technical leadership capabilities
  • Adept in converting business goals into actionable technical architectures

Responsibilities

  • Lead assessments and architecture workshops with clients
  • Design scalable data solutions using Databricks and Azure
  • Define standards for data integration, modeling, and governance
  • Establish CI/CD and DevOps patterns for data platforms
  • Guide teams through architecture reviews and optimization processes
  • Support technical sales efforts and build reusable frameworks
  • Mentor engineering teams to enhance Microsoft and Databricks skills

Benefits

  • Opportunity to work in a client-facing role
  • Engagement with advanced technologies like generative AI
  • Professional development through mentorship
  • Participation in architecture workshops and hands-on implementations
  • Support for obtaining relevant industry certifications
Full Job Description
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

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