Senior Data Architect

Anblicks; Dallas (TX); On-site; USD 140,000 - 180,000; Full time

Job summary

Anblicks is seeking a Snowflake Architect to lead design, data modeling, and migration strategy for enterprise-scale modernization to Snowflake. The role owns medallion architecture, transformation standards, and cutover-safe migration patterns on large builds in our portfolio.

Design target-state Snowflake architectures, drive data modeling, define migration plans, and lead architecture sign-offs with client teams. Guide hands-on delivery and apply AI-assisted conversion approaches.

Qualifications

• Hands-on experience in data platform modernization from legacy to cloud.
• Proven ability to design medallion architectures and migration patterns.
• Familiarity with Snowflake, dbt, and orchestration tooling.

Responsibilities

• Design target-state Snowflake architectures: medallion layering, security/RBAC, performance and cost optimization.
• Drive data modeling for complex domains and translate legacy schemas.
• Define migration plans, back-load/incremental loads, validation, and cutover designs.
• Lead design reviews and architecture sign-offs with client teams.
• Guide build teams hands-on and support Go/No-Go decisions.

Skills

Snowflake

Data modeling

Medallion architecture

Migration planning

Go/No-Go decisions

Architecture reviews

Tools

dbt

Dagster

Airflow

Snowpipe

Kinesis

Job description

Role: Snowflake Architect - Data Platform Modernization

Job Description

Anblicks is seeking a Snowflake Architect to drive design, data modeling, and solution strategy for enterprise-scale migrations from legacy data platforms to Snowflake. The role owns medallion architecture design, transformation standards, and cutover-safe migration patterns on some of the largest builds in our portfolio.

Key Responsibilities

• Design target-state Snowflake architectures: medallion (Bronze/Silver/Gold) layering, dbt and orchestration standards, security/RBAC, performance and cost optimization.
• Drive data modeling for complex enterprise domains; translate legacy schemas and logic into modern, maintainable designs.
• Define migration plans, history back-load and incremental load strategies, validation and reconciliation approaches, and cutover designs.
• Lead design reviews and architecture sign-off inputs with client architecture teams.
• Guide build teams hands-on; apply AI-assisted and accelerator-driven conversion approaches.
• Support parallel-run tolerance definition and Go/No-Go decisions.

Qualifications

• Hands-on experience across 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.
• AWS-native ingestion patterns (Snowpipe, Kinesis) and orchestration (Dagster/Airflow) preferred.