Principal Snowflake Architect

Anblicks; Dallas (TX); On-site; USD 190,000 - 240,000; Full time

Job summary

Anblicks is seeking a Principal Data Architect to lead data modernization across enterprise programs in an onsite US setting. You will set architecture standards, drive data modeling and solution strategy across Snowflake and Databricks, and lead a central enablement function delivering accelerators and playbooks.

This hands-on leadership role requires extensive experience architecting legacy-to-modern transformations at scale, with strong emphasis on data modeling depth and AI-enabled delivery

Qualifications

• 15+ years in data architecture and engineering.
• Enterprise-scale architecture leadership across cloud data platforms.
• Deep MarTech domain expertise for identity resolution and campaign data flows.
• Hands-on modernization of legacy to cloud platforms including AI-enabled delivery.
• Strong data modeling and modern transformation frameworks (dbt).

Responsibilities

• Own architecture standards and solution strategies across data platforms.
• Chair design reviews and ensure safe migration and cutover designs.
• Define validation and reconciliation strategies for large migrations.
• Direct enablement teams building accelerators and playbooks.
• Advise client architecture leadership and support sign-offs and risk reviews.
• Champion AI-enabled engineering practices across delivery teams.

Skills

Enterprise-scale leadership

Data modeling

Cloud data platforms

Snowflake and Databricks

AI-enabled engineering practices

Tools

Snowflake

Databricks

dbt

Job description

Principal Data Architect - Data Modernization | Onsite, US | 15+ years

Job Description:

We are seeking a Principal Data Architect to serve as the design authority across a portfolio of large-scale data platform modernization programs. This architect sets architecture standards, drives data modeling and solution strategy across cloud data platforms, and leads a central enablement function that converts delivery learnings into reusable accelerators and playbooks. This is a hands‑on architecture leadership role for someone who has personally architected legacy-to-modern transformations at enterprise scale.

Key Responsibilities

• Own architecture standards, data modeling direction, and solution strategies across Snowflake, Databricks, and legacy conversion workstreams.
• Chair design reviews across parallel delivery teams; ensure consistent, high-quality architecture decisions and safe migration and cutover designs.
• Define validation and reconciliation strategies for large-scale data migrations, including parallel-run frameworks and tolerance models.
• Direct an enablement team building accelerators, reusable frameworks, and delivery playbooks; drive adoption and measure reuse across programs.
• Advise client architecture leadership; support architecture sign-off, risk assessment, and change management for platform transitions.
• Champion AI-enabled engineering practices (code conversion, test generation, AI-assisted development) across delivery teams.

Qualifications

• 15+ years in data architecture and engineering, with enterprise-scale architecture leadership across cloud data platforms.
• MarTech domain expertise is a must: identity resolution, customer data, audience segmentation, suppression, and campaign data flows.
• Deep, hands‑on experience architecting data platform modernization programs (legacy to modern cloud platforms), including AI-enabled and accelerator-driven delivery, migration planning, data validation and reconciliation strategies, parallel runs, and cutover execution.
• Strong data modeling depth (dimensional, medallion/lakehouse) and modern transformation frameworks (dbt or equivalent).
• Proven design authority across multiple concurrent teams; ability to both lead and execute.
• Snowflake and/or Databricks architecture certifications preferred; accelerator or IP development leadership a plus.