Staff Data Architect

Role Description

Apptegy is building the data platform that powers decision-making across a high-growth SaaS business. As our Staff Data Architect, you will define and own the enterprise data architecture that enables the business to operate with confidence at scale. This includes how data is ingested, modeled, governed, secured, and consumed across the organization, with Snowflake at the core of the platform.

This is a high-impact, high-autonomy individual contributor role reporting directly to the VP of Data & Analytics. You will serve as the technical authority for how data is structured and used across the company, setting the architectural vision for the Business Data Platform and guiding the standards that allow a small, high-performing team to move quickly without compromising quality, governance, or long-term scalability.

The right person for this role brings deep Snowflake expertise, strong architectural judgment, and a clear point of view on modern data platform design. They are equally comfortable defining long-range strategy, making consequential build-versus-buy decisions, and working hands-on with engineers to shape implementation details. This person will also help define how the platform serves as the enterprise context layer for AI, ensuring data is enriched, well-modeled, and reliable enough to support LLM, RAG, and agent-based use cases across the business.

Qualifications

• 8+ years of experience in data engineering, analytics engineering, or data architecture roles, with at least 3 years in an architecture-focused capacity.
• Expert-level Snowflake proficiency, including schema design, performance tuning, virtual warehouse management, RBAC, data sharing, and cost governance.
• Deep experience with modern data transformation practices, including strong design principles and hands-on experience with Coalesce.
• Strong data modeling fundamentals, including dimensional modeling, normalization, entity-relationship design, and semantic layer concepts.
• Demonstrated ability to design and govern a medallion or layered architecture at scale across multiple business domains.
• Experience with data governance, including access controls, PII classification, lineage tracking, documentation standards, and data contract expectations.
• Experience designing or implementing a data observability practice, including freshness monitoring, anomaly detection, SLA definition, and incident response for data pipelines.
• Strong SQL across analytical workloads, with the ability to review, optimize, and improve complex query patterns.
• Excellent communication skills, including the ability to create architecture diagrams, write clear decision records, and present technical direction to non-technical leadership.
• Understanding of enterprise AI application patterns, including RAG pipelines, vector search, and agent frameworks.
• Familiarity with how AI and ML workflows consume and depend on data platform capabilities.

Requirements

• Act as the senior technical voice on the data team, guiding architectural decisions across active initiatives.
• Evaluate and recommend new tools, platforms, and approaches, leading build-versus-buy decisions.
• Partner closely with the VP of Data & Analytics on roadmap planning, prioritization, and strategic vendor relationships.
• Provide hands-on architectural guidance to Data Engineers and Analytics Engineers.
• Communicate architectural vision, platform strategy, and technical decisions clearly to stakeholders.
• Collaborate with stakeholders across the company to understand evolving data requirements.
• Partner with the broader engineering organization to define data contracts at system boundaries.
• Work closely with BI and analytics consumers to ensure the architecture enables self-service and consistency.
• Collaborate with Data Scientists and AI/ML Engineers to ensure the platform surfaces well-contextualized, AI-ready data.

Benefits

• Comprehensive medical, dental, vision, and life insurance coverage.
• Retirement 401(k) with employer match.
• Health Savings Accounts (HSA) and Flexible Spending Accounts (FSAs).
• Mental Health Reimbursement.
• Unlimited paid time off, including seasonal (December) company-wide time off.
• Paid parental and medical leave.
• Private medical insurance for you and your dependents (MX).
• Life insurance (MX).
• 15 days Aguinaldo (MX).
• Flexible paid time off policy (MX).
• Paid travel to/from Little Rock, Arkansas for Onboarding (MX).