Databricks & Data Platform Architect

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

Job summary

Anblicks Inc. is seeking an experienced data/AI solution architect to own end-to-end architectures across data platforms, applications, integration layers, and cloud infrastructure.

You will build reference implementations and lead architecture discussions with clients, driving designs from discovery to production readiness. Hands-on experience with Databricks and Snowflake is highly valued, including modeling, performance, cost optimization, and governance.

Qualifications

• Hands-on production experience with Databricks or Snowflake—modeling, performance, cost, ingestion patterns, and governance.
• Ability to own end-to-end data and AI architecture across platforms and cloud layers.

Responsibilities

• Own end-to-end solution architecture across data platforms, applications, integration layers, cloud infrastructure, and downstream consumption.
• Build reference implementations, blueprint code, and proof-of-concepts that give delivery teams a working starting point.
• Identify automation opportunities relentlessly — in pipelines, in deployment, in testing, in operations, in the architecture practice itself.
• Make and defend technology choices: build vs. buy, batch vs. streaming, managed vs. self-hosted, and the trade-offs behind each.
• Build observability into designs — monitoring, alerting, and the signals teams need to run the solution in production.
• Act as escalation support across delivery teams, driving root-cause analysis on hard production and data issues.
• Partner with engineering teams through delivery. You stay involved past the design review.
• Represent Anblicks directly with clients — lead architecture discussions, discovery workshops, design reviews, and solution walkthroughs on client calls.

Skills

Databricks

Snowflake

Data platforms

Cloud infrastructure

Job description

Anblicks Inc. is seeking an experienced data/AI solution architect to own end-to-end architectures across data platforms, applications, integration layers, and cloud infrastructure.

You will build reference implementations and lead architecture discussions with clients, driving designs from discovery to production readiness. Hands-on experience with Databricks and Snowflake is highly valued, including modeling, performance, cost optimization, and governance.