Databricks Architect

Anblicks; 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

At Anblicks, our architects sit at the center of complex data and AI programs — connecting source systems, applications, cloud infrastructure, data platforms, and the downstream consumers who actually use the output. You will own the end-to-end picture: how data enters the organization, how it moves, where it lands, how it is governed, and how business teams get value from it.

What you'll do

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.

Hands‑on production experience with Databricks or Snowflake — modeling, performance, cost, ingestion patterns, and governance. Experience with both is a plus.

Nice to have:

GenAI and ML platform architecture — RAG patterns, model serving, vector stores, evaluation and cost management.