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Entry Level Databricks Architect Jobs in Dallas, TX

IBM

Associate Data Engineer 2027

Dallas, TX · On-site

$113K - $136K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Work collaboratively with the Client and the Architect to ensure proper translation of business ...

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All JobsDatabricks Architect JobsEntry Level Databricks Architect JobsEntry Level Databricks Architect Jobs in Dallas, TX

Entry Level Databricks Architect information

See Dallas, TX salary details

$46K

$127.4K

$199.3K

How much do entry level databricks architect jobs pay per year?

As of Aug 17, 2026, the average yearly pay for entry level databricks architect in Dallas, TX is $127,370.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $164,200.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Databricks Architect vs Data Engineer?

AspectEntry Level Databricks ArchitectData Engineer
Required CredentialsBasic knowledge of Databricks, cloud platforms, and data architecture; certifications like Databricks Certified AssociateProficiency in SQL, ETL tools, cloud platforms; certifications like AWS or Azure Data Engineer
Work EnvironmentCollaborates with data teams to design data solutions on Databricks platformBuilds and maintains data pipelines, manages data storage and processing
Industry UsageUsed in organizations adopting Databricks for data analytics and AI projectsWidely used across industries for data integration and pipeline development

While both roles involve working with data and cloud platforms, the Entry Level Databricks Architect focuses on designing data solutions specifically on Databricks, whereas Data Engineers build and maintain the data pipelines and infrastructure across various platforms. The architect role emphasizes architecture and design, while the data engineer role emphasizes implementation and maintenance.

What are the most commonly searched types of Databricks Architect jobs in Dallas, TX?

The most popular types of Databricks Architect jobs in Dallas, TX are:

What are popular job titles related to Entry Level Databricks Architect jobs in Dallas, TX?

For Entry Level Databricks Architect jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Databricks Architect jobs in Dallas, TX look for?

The top searched job categories for Entry Level Databricks Architect jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Entry Level Databricks Architect jobs?

Cities near Dallas, TX with the most Entry Level Databricks Architect job openings:

Entry Level Databricks Architect jobs near you
Infographic showing various Entry Level Databricks Architect job openings in Dallas, TX as of June 2026, with employment types broken down into 78% Full Time, 9% Part Time, and 13% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $127,370 per year, or $61.2 per hour.

Machine Learning Engineer Fraud Detection

Compugra Systems

Dallas, TX • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Hiring: Machine Learning Engineer Fraud Detection

Location: Dallas, TX 100% Onsite
Contract: 1 Year
Experience: 8 12 Years

We are looking for a strong Machine Learning Engineer with experience building and supporting production-grade fraud detection solutions.

Key Skills

Python & Machine Learning
Real-Time / Low-Latency Inference
REST APIs & Microservices
Google Cloud Platform & Databricks
Neo4j / Graph Databases
Feature Stores & Feature Engineering
Data Pipelines & Data Engineering
MLOps, Monitoring & Production Support
Agentic AI Architecture Good to Have

Role Highlights

Build and deploy production fraud detection services
Develop low-latency ML inference solutions
Design ML feature engineering pipelines
Integrate ML models with APIs and microservices
Support graph-based fraud detection using Neo4j
Improve performance, scalability and reliability
Work with MLOps teams on releases and production support

Interested candidates can share their updated resumes at:

#Hiring #MachineLearning #MachineLearningEngineer #MLEngineer #FraudDetection #Python #Google Cloud Platform #Databricks #Neo4j #MLOps #Microservices #DallasJobs #TexasJobs #ContractJobs #TechJobs

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