Principal Data Architect
Access SystemsSalary not specified
Full Time
Expert & Leadership (9+ years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, ConsultingIndustries
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, or a related discipline
- 4+ years hands-on experience with the Microsoft Data & AI stack (Fabric, Power BI, Azure Data Factory, Synapse, SQL, Dataverse)
- Proven success designing and delivering modern data platforms within Microsoft environments, integrating structured and unstructured data for analytics and AI
- Expertise in DAX, Power Query (M), T-SQL, and Python for advanced data modeling and transformation
- Familiarity with Fabric’s OneLake, Data Activator, and Copilot integrations for automating data insights
- Experience implementing data governance and security via Microsoft Purview and Entra ID (Azure AD)
- Excellent communication and presentation skills, capable of translating technical concepts for non-technical audiences
- Preferred Qualifications
- Microsoft Certified: Fabric Analytics Engineer Associate
Responsibilities
- Design and implement enterprise-grade data solutions using Microsoft Fabric, Azure Synapse Analytics, Data Factory, and Power BI, ensuring scalable, secure, and performant architectures
- Develop robust ETL/ELT pipelines leveraging Dataflows, Notebooks, and Pipelines within Fabric, enabling unified data ingestion and transformation across diverse data sources
- Build semantic data models and design data warehouses, lakes, and lakehouses for analytics, AI, and operational reporting
- Deliver end-to-end Power BI solutions, from dataset modeling to DAX optimization and interactive visual storytelling
- Provide strategic consulting on data modernization, AI enablement, and governance frameworks (e.g., Purview), aligning technical execution with business goals
- Lead and mentor cross-functional teams, promoting best practices in data engineering, solution architecture, and Microsoft platform adoption
- Act as a subject matter expert on the Microsoft Cloud Data Platform, staying current with updates across Fabric, Power BI, Synapse, and Azure OpenAI
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the company culture like at Lantern?
Lantern's culture is built on trust, respect, inclusion, and belonging, fostering collaboration among inspired teams while prioritizing colleague well-being, client success, and societal impact. They embrace a growth mindset, celebrate excellence, value mentoring, and hold themselves to high standards of technical excellence as a Microsoft services partner.
What key skills are required for the Senior Data & AI Consultant role?
The role requires deep expertise in Microsoft Fabric, Power BI, Azure Synapse, Data Factory, and Dataverse, along with skills in designing data solutions, building ETL/ELT pipelines, semantic modeling, DAX optimization, and strategic consulting on data modernization and AI enablement.
What does the Senior Data & AI Consultant do day-to-day?
Responsibilities include designing and implementing data solutions with Microsoft tools, developing ETL/ELT pipelines, building data models and warehouses, delivering Power BI solutions, providing strategic consulting on data modernization and AI, leading and mentoring teams, and acting as a Microsoft Cloud Dat expert.
What is the salary for this position?
This information is not specified in the job description.
Is this role remote or office-based?
This information is not specified in the job description.
Later
Social media management and influencer marketing tools
About Later
Later provides tools for social media marketing, focusing on helping marketers, brands, and influencers create engaging content and measure their results. Its main products include Later Influence, which automates influencer marketing campaigns and connects brands with influencers; Later Social Media Management, a tool for planning, scheduling, and analyzing social media posts; and Later Link in Bio, which allows users to drive traffic to multiple destinations from a single link in their bio. Unlike many competitors, Later emphasizes a subscription model that offers various service tiers, ensuring continuous updates and support for users. The company's goal is to establish the first "Social Revenue" platform, enabling clients to achieve predictable and measurable returns from their social media activities.
Vancouver, CanadaHeadquarters
2014Year Founded
$3.7MTotal Funding
SEEDCompany Stage
Consumer Software, Consumer GoodsIndustries
1,001-5,000Employees
Benefits
Hybrid work environment
Education & conference budget
Wellness spending account
Flexible hours & work schedule
Technology bonus
Annual company retreat
Vacation & wellness days
Parental leave top-up
Learning & development workshops
Stock options
Risks
Linktree's growth may overshadow Later's Link in Bio tool.
Integration of Mavely could distract from core offerings.
Instagram's video shift may require adaptation of Later's tools.
Differentiation
Later combines influencer marketing and social media management in a unified platform.
The company offers AI-powered social listening tools for actionable insights.
Later's acquisition of Mavely enhances its social commerce capabilities.
Upsides
AI-enhanced search optimizes influencer discovery and ROI for brands.
Social commerce trends offer new monetization opportunities for creators.
Later's partnerships with major social platforms expand its market reach.
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