Principal Data Architect

Magnit

3d

About The Position

The Principal Data Architect is a senior technical leader responsible for the design, architecture, and implementation of the organization’s enterprise data platform, with a primary focus on building and scaling the Snowflake data warehouse environment. This role will lead the migration of legacy data environments, into a modern Snowflake architecture, while establishing scalable data models, governance standards, and integration patterns that support enterprise analytics and business intelligence.
The Principal Data Architect will work cross-functionally with IT, Engineering, Data, Product, and Business Intelligence teams to consolidate and modernize the company’s data ecosystem. The initial focus will be building a scalable platform for our data first products. This spans workflows, sourcing, recruitment, payroll & compliance, integrations, reporting & analytics, and supply chain data. We are the system of record for a broad variety of talent platforms and this data warehouse will power analytics and self-service reporting across our platform. This role will also own consolidation strategy for Business Intelligence across all of Magnit Global.
This role combines hands-on architecture, platform strategy, and cross-organizational influence to ensure the company’s data infrastructure supports current operational needs and future growth.

Requirements

• 10+ years of experience in data architecture, data engineering, or enterprise data platform design.
• Bachelor’s Degree in a technical field such as: Computer Science, Information Systems, Data Science, etc.
• Extensive experience architecting modern lakehouses, particularly Snowflake.
• Proven experience leading large-scale data platform implementations, consolidations and migrations.
• Demonstrated success modernizing legacy data environments.
• Experience enabling enterprise analytics using BI tools (such as MicroStrategy, Tableau, Sigma and Power BI)

Nice To Haves

• Experience is preferred with Snowflake, Metaplane, DBT Core, Fivetran, Kafka and Airflow

Responsibilities

• Drive data platforms to modern cloud-based platforms, including moving existing PostgreSQL, SQL Server, Oracle platforms into the public cloud.
• Design and implement the enterprise data architecture strategy, centered on the Snowflake data platform.
• Define scalable data modeling standards, warehouse structures, and data pipelines to support enterprise analytics.
• Establish best practices for data ingestion, transformation, storage, and access patterns.
• Lead the architecture, deployment, and optimization of the Snowflake environment.
• Build a modern cloud data warehouse architecture that supports high performance, scalability, low latency and cost efficiency.
• Define Snowflake security, governance, and performance optimization frameworks.
• Architect and lead the migration of data from the existing data platforms into Snowflake.
• Develop and execute the data consolidation roadmap to unify disparate data sources.
• Ensure data integrity, consistency, and continuity throughout migration activities.
• Partner with product and engineering teams to support Magnit Gateway data architecture requirements.
• Ensure the platform architecture supports Magnit Gateway’s operational and analytics needs while aligning with long-term enterprise data strategy.
• Design data models and architecture optimized for BI and analytics platforms, including: o MicroStrategy o Tableau o Sigma o Power BI
• Enable self-service analytics capabilities by ensuring reliable, well-structured data layers.
• Enable cross-client and cross-sytem analytics
• Move to AI powered self-service analytics & insights by using e.g. Snowflake Cortex Analyst
• Establish data governance frameworks, metadata management, and documentation standards.
• Define policies for data quality, lineage, and lifecycle management.
• Ensure compliance with security, privacy, and regulatory requirements.
• Serve as the principal authority on enterprise data architecture.
• Lead AI based initiatives to improve internal Magnit Employees in addition to bringing new product capabilities to market
• Provide architectural guidance to data engineers, analytic engineers, BI developers, and application teams.
• Evaluate and recommend new technologies and data platform capabilities.
• Partner with Engineering, Product, Analytics, and Business stakeholders to align data platform capabilities with business priorities.
• Translate business requirements into scalable data architecture solutions.
• Communicate architectural vision and technical strategies to both technical and executive audiences.

Benefits

• unlimited PTO
• medical, dental, and vision coverage
• retirement planning
• discounts and perks for tickets, travel, merchandise and more!
• Magnit encourages employees to participate in giving back, and we will match employee contributions to favorite charities and support corporate volunteering hours to make a difference in your community!

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 251-500 employees