Principal Data Architect - Data Modernization (MarTech)

Anblicks; Dallas (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Anblicks is seeking a Principal Data Architect to lead data modernization initiatives for MarTech programs onsite in the US. This role sets architecture standards, drives data modeling across cloud platforms, and guides delivery teams through migrations and cutovers.

The ideal candidate has 15+ years in data architecture, enterprise-scale experience with Snowflake and Databricks, deep data modeling skills, and a proven ability to create accelerators, playbooks, and AI‑assisted development

Qualifications

• 15+ years in data architecture and engineering, enterprise-scale leadership across cloud data platforms.
• MarTech domain knowledge: identity resolution, customer data, audience segmentation, and campaign data flows.

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 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.

Skills

Data architecture

Data modeling

Cloud platforms

Tools

Snowflake

Databricks

dbt

Job description

Job Description: Principal Data Architect - Data Modernization (MarTech) | Onsite, US | 15+ years

Anblicks is 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.