Data Architect

About the Role

We are seeking an experienced Data Architect to lead the design and management of our Snowflake environment. This role is essential to delivering real-time operational intelligence and driving our long-term data strategy. You will be responsible for building the event-driven foundation that supports downstream aggregations, behavioral analytics, and intelligent automation. A key part of your work will be enabling our Customer 360 initiative, where we unify customer data from various channels to power segmentation, personalization, and compliance-aware experiences. You will architect and maintain a data platform that scales with growing automation, AI integrations, and evolving compliance requirements.

Key Responsibilities

• Snowflake Leadership
  • Design, build, and optimize scalable schemas in Snowflake to support operational, analytical, and AI workflows.
  • Set best practices for performance, cost optimization, and secure access control.
• Data Integration & Pipelines
  • Build and maintain robust pipelines to integrate data from Segment, automation platforms, webhooks, CRMs, third-party APIs, and internal systems.
  • Own the ingestion of structured and semi-structured data across cloud platforms.
• Customer 360 Program Ownership
  • Architect and implement a unified data model to consolidate all customer interaction and behavioral data.
  • Enable analytics, segmentation, and personalization based on a real-time, queryable customer profile.
• Governance, Security, and Compliance
  • Implement and monitor data privacy, encryption, masking, and access control policies.
  • Collaborate with compliance teams to align with standards like GDPR, SOC 2, and HIPAA where applicable.
• Collaboration & Documentation
  • Partner with workflow developers and analysts to ensure data structures are usable and reliable.
  • Maintain thorough documentation of schemas, pipeline logic, and data flows.
• Observability & Monitoring
  • Build logging and lineage tracking into all core pipelines.
  • Define SLAs and alerting mechanisms for data availability and pipeline performance.

Qualifications

• 5+ years of experience in data architecture, engineering, or platform roles.
• Deep expertise with Snowflake and modern data stack technologies.
• Experience working with event-based systems (e.g., Segment) and workflow tools (e.g., Make.com, Zapier).
• Proficiency in SQL and experience designing data pipelines for event-driven systems, including downstream aggregations and transformations.
• Solid understanding of data governance, security, and compliance best practices.
• Excellent communication and documentation skills.
• Comfortable working cross-functionally in fast-paced, remote environments.

Nice to Have

• Experience supporting AI/ML data pipelines or LLM-based applications.
• Familiarity with reverse ETL tools, observability platforms, or operational analytics stacks.

Why Join Us?

• Help shape the data foundation of a forward-thinking, AI-integrated system.
• Collaborate with a multidisciplinary team of engineers, analysts, and automation experts.
• Work in a flexible, fully remote environment with a strong culture of autonomy and accountability.

Apply Now to lead a foundational pillar of our intelligent automation architecture.