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Assistant Databricks Architect Jobs in Texas (NOW HIRING)

In this architecture, all core transformations will be built directly within Databricks using ... Familiarity with Alteryx workflows is a major plus, specifically to assist in reverse-engineering ...

New

AI architect

Dallas, TX · On-site

$62.75 - $81.75/hr

... Databricks, Azure Synapse Analytics, and Azure Data Factory ✔ Hands-on experience with AKS ... Copilots, Virtual Assistants, Intelligent Automation, Recommendation Systems, and Analytics ...

AI Architect

Irving, TX · On-site

$150K - $201K/yr

Build AI-powered solutions such as copilots, virtual assistants, intelligent automation workflows ... Databricks, Synapse, or modern data platforms • Exposure to Responsible AI and governance ...

... Databricks NCPDP telecom standards, claims adjudication, formulary and benefit design logic HL7 ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Pharmacy Domain Architect

Austin, TX · On-site +1

$60 - $78/hr

... like Snowflake or Databricks • NCPDP telecom standards, claims adjudication, formulary and ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

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Assistant Databricks Architect information

What is the difference between Assistant Databricks Architect vs Data Engineer?

AspectAssistant Databricks ArchitectData Engineer
Primary FocusDesigning and supporting Databricks architecture and solutionsBuilding, maintaining, and optimizing data pipelines and databases
Required SkillsDatabricks platform knowledge, cloud services, architecture designSQL, ETL, programming (Python, Spark), data modeling
CertificationsDatabricks certifications, cloud certifications (AWS, Azure)None specific, but certifications like Google Cloud Data Engineer are common
Work EnvironmentCloud-based data platforms, collaborative teamsData warehouses, cloud or on-premises environments

The Assistant Databricks Architect focuses on designing and supporting Databricks solutions, while Data Engineers build and maintain data pipelines. Both roles require cloud and data platform knowledge, but the Architect emphasizes architecture design, whereas Data Engineers focus on data processing and pipeline development.

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Full-time

Re-posted 19 days ago


Job description

Job Title: Databricks Architect
Work Location: Irving, TX
Duration :8+months
Job Description:
We seek a DataBricks Solutions Architect who is passionate about crafting outstanding data management and engineering solutions. This position is perfect for a strategic problem solver with a vision for bringing to bear data to assist clients in making informed decisions.
About You:
You are passionate about crafting and presenting analytical solutions for clients
Have experience with DataBricks, data management, and data engineering technologies
Have successfully implemented technical solutions across various domains
What you'll do:
At OneMagnify, a DataBricks Solutions Architect plays a crucial role in crafting client solutions and supporting the pre-sales cycle. This senior-level individual contributor role entails developing proof-of-concepts and staying up-to-date with the latest trends in data management and engineering. Reporting to the Senior Director of Data Engineering, you will propel growth and solution opportunities for potential and current clients.
Research and apply existing data management and engineering tools
Broaden our range of services by incorporating technologies such as DataBricks and reporting platforms like Tableau, Domo, and PowerBI.
Use large data sets to identify optimization opportunities and test advanced models
Apply various data mining and analysis methods, develop models, and build simulations
Assist in the pre-sales process by comprehending client business objectives and identifying how data-driven insights can help accomplish them
Collaborate with a wide range of partners and functional teams
Regularly meet with clients to offer mentorship on new service offerings and capabilities
What you'll need:
Undergraduate degree. 15+ years of experience in information technology, analytics, or data science, or equivalent
Proven problem-solving skills with a focus on client consulting
Experience with statistical programming languages (R, Python, SQL) to manipulate data and derive insights
Proficiency in DataBricks and reporting software
Knowledge of machine learning techniques (clustering, ensemble methods, neural networks)
Strong understanding of statistical techniques and concepts (regression, distributions, statistical tests)
Excellent communication skills for coordinating across teams and presenting to clients