Principal Data Architect (Snowflake) [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Data Architect (Snowflake) based in the United States.

This is a senior architecture role focused on designing and evolving modern, cloud-native data platforms that power enterprise-scale analytics and decision-making. You will lead the architectural vision for Snowflake-based ecosystems, shaping how data is ingested, modeled, governed, and consumed across the organization. The role requires deep technical expertise combined with the ability to translate architecture decisions into clear business and cost trade-offs for executive stakeholders. You will work across engineering, analytics, security, and compliance teams to ensure scalable, secure, and well-governed data systems. A strong emphasis is placed on modern lakehouse and medallion architectures, as well as enabling high-performance, cost-efficient data platforms. This is a hands-on leadership role where you will influence platform direction while mentoring engineers and elevating architectural maturity across teams. It is ideal for someone who thrives at the intersection of deep technical design, cloud data platforms, and strategic impact.

Accountabilities:

• Design and evolve scalable Snowflake-based data architectures, including medallion and lakehouse patterns with robust schema evolution strategies.
• Define and enforce enterprise-grade data governance and security frameworks, including RBAC, tagging, classification, and dynamic data masking for sensitive data.
• Lead integration architecture across modern data ingestion tools such as Fivetran, CData, dbt, Snowpark, and Salesforce.
• Collaborate with Azure platform teams to design secure storage, networking, and private connectivity architectures, including Azure SQL integrations.
• Develop cost and consumption forecasting models and communicate architectural trade-offs to executive and business stakeholders.
• Establish standards for data modeling, pipeline design, data quality, lineage, and observability across the data ecosystem.
• Partner with engineering, analytics, security, and compliance teams to ensure alignment with regulatory and enterprise requirements.
• Mentor engineers and promote system-level thinking and architectural best practices across teams.
• Champion the use of AI tools and modern data technologies to improve productivity and innovation.

Requirements:

• Extensive hands-on experience with Snowflake architecture and data platform design at enterprise scale.
• SnowPro Advanced: Architect certification strongly preferred.
• Proven expertise designing medallion and lakehouse architectures and managing complex schema evolution.
• Strong experience with Azure data platforms, including storage, networking, private connectivity, and Azure SQL.
• Deep understanding of data governance, including RBAC, tagging, classification, and Snowflake Horizon for PII and regulated data.
• Experience with modern data tooling such as Fivetran, CData, dbt, Snowpark, and Salesforce integrations.
• Ability to translate technical architecture decisions into financial and business impact (cost modeling, trade-offs, ROI).
• Strong communication skills with the ability to explain complex systems to technical and executive audiences.
• Exposure to or interest in Snowflake Cortex, LLM-on-warehouse, semantic modeling, RAG design, or Cortex Search is a plus.
• Strong interest in AI tools and methodologies, with a willingness to adopt and evangelize emerging technologies.

Benefits:

• Competitive compensation with bonus opportunities
• Remote or hybrid work flexibility across the United States
• Comprehensive benefits package including health, dental, and vision coverage
• 401(k) retirement plan with employer matching
• Generous paid time off (PTO) and holidays
• Tuition reimbursement and continuous learning support
• Career development programs, mentorship, and certification support
• Inclusive, collaborative culture with recognition programs and innovation initiatives
• Exposure to cutting-edge data, cloud, and AI technologies

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.