Principal Data Architect: MarTech Data Modernization Lead

Anblicks Inc.; Dallas, Northern (TX, KY); Hybrid; USD 180,000 - 230,000; Full time

Job summary

Anblicks Inc. is seeking a Principal Data Architect to lead architecture across large data modernization programs in a MarTech context. This role requires hands-on leadership, setting standards, and driving strategy for cloud data platforms.

The ideal candidate has enterprise-scale experience with data modernization, AI-assisted development, and accelerators that enable reusable patterns across multiple delivery teams.

Qualifications

• 15+ years in data architecture and engineering, leading enterprise-scale programs.
• MarTech domain expertise: identity resolution, customer data, audience segmentation, suppression, campaign data flows.
• Experience with data platform modernization, AI-enabled delivery, migration planning, validation and cutover strategies.

Responsibilities

• Own architecture standards, data modeling direction, and solution strategies across Snowflake, Databricks, and legacy workstreams.
• Chair design reviews across delivery teams; ensure high-quality architecture decisions and safe migration designs.
• Define validation and reconciliation strategies for large-scale migrations, including parallel-run frameworks.
• Direct an enablement team building accelerators, reusable frameworks, and delivery playbooks.
• Advise client architecture leadership; support architecture sign-off, risk assessment, and change management for transitions.
• Champion AI-enabled engineering practices across delivery teams.

Skills

Data architecture leadership

Data modeling

Snowflake

Databricks

AI-enabled development

Tools

Snowflake

Databricks

dbt

Job description

Anblicks Inc. is seeking a Principal Data Architect to lead architecture across large data modernization programs in a MarTech context. This role requires hands-on leadership, setting standards, and driving strategy for cloud data platforms.

The ideal candidate has enterprise-scale experience with data modernization, AI-assisted development, and accelerators that enable reusable patterns across multiple delivery teams.