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Databricks Architect Jobs in Texas (NOW HIRING)

VIS IT Solutions Inc

DataBricks Engineer

Plano, TX · On-site

... architecture. •      Convert and optimize Hive SQL, Spark SQL, and PySpark workloads forImple and automation for validation and PySparkjobs from AWS EMR to Databricks. • ...

Shaarpro

Databricks Engineer

Austin, TX · On-site

Pipeline & Lakehouse Architecture: Design, build, and maintain scalable ETL/ELT ingestion pipelines ... Develop dynamic native Databricks SQL dashboards, Databricks Apps, and custom analytical solutions ...

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Elite IT Solutions inc

DataBricks Engineer

Plano, TX · On-site

... architecture. •      Convert and optimize Hive SQL, Spark SQL, and PySpark workloads forImple and automation for validation and PySparkjobs from AWS EMR to Databricks. • ...

NHRG, Inc.

Be Seen First

Databricks Engineer

Austin, TX · On-site

$85 - $95/hr

... on Databricks using PySpark or Scala for large-scale data processing. • Build and maintain ... Architecture (Bronze, Silver, Gold) to support enterprise analytics and reporting. • Develop ...

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NHRG, Inc.

Be Seen First

Databricks Engineer

Austin, TX · On-site

$85 - $95/hr

... on Databricks using PySpark or Scala for large-scale data processing. • Build and maintain ... Architecture (Bronze, Silver, Gold) to support enterprise analytics and reporting. • Develop ...

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Prabhav Services Inc

Databricks

Dallas, TX · On-site

$113K - $136K/yr

Implement Medallion Architecture (Bronze, Silver, Gold) using Delta Lake. * Develop and manage Delta Live Tables (DLT) and Databricks Workflows. * Optimize Spark jobs for performance, scalability ...

Innosoul inc

Databricks Engineer

Austin, TX · On-site

... architecture, orchestration/Airflow, CI/CD/DevOps/Git, public sector experience Location: Austin ... The Databricks Engineer should design, develop, and optimize scalable data solutions on Databricks ...

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Databricks Architect information

What is the difference between Databricks Architect vs Data Engineer?

AspectDatabricks ArchitectData Engineer
Primary FocusDesigning and implementing data solutions on Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsDatabricks certifications, Spark, cloud platforms (AWS, Azure), SQLSQL, ETL tools, cloud platforms, programming (Python, Scala)
Work EnvironmentData platforms, cloud environments, collaboration with data teamsData pipelines, databases, cloud infrastructure, scripting

While both roles work with data and cloud platforms, a Databricks Architect primarily focuses on designing and implementing data solutions using Databricks, whereas a Data Engineer builds and maintains the data pipelines and infrastructure that support these solutions. The Architect often oversees the technical design, while the Engineer handles the day-to-day pipeline development.

What are the key skills and qualifications needed to thrive as a Databricks Architect, and why are they important?

To thrive as a Databricks Architect, you need strong expertise in big data engineering, cloud platforms (such as Azure or AWS), distributed computing, and proficiency in languages like Python or Scala, typically supported by a relevant degree and cloud certifications. Familiarity with Databricks Workspace, Apache Spark, Delta Lake, and CI/CD tools is crucial for designing and implementing scalable data solutions. Excellent problem-solving, communication, and project management skills set top performers apart by enabling effective collaboration and solution delivery. These competencies are essential for architecting reliable, high-performance data platforms that drive business insights and innovation.

What are some common challenges Databricks Architects face when designing large-scale data solutions?

Databricks Architects often encounter challenges such as optimizing cluster performance for cost and efficiency, ensuring data security and compliance across distributed environments, and integrating Databricks with legacy systems or diverse data sources. They must carefully design data pipelines and workflows to handle large volumes of data without bottlenecks, and also collaborate closely with data engineers, data scientists, and IT teams to align on best practices. Staying updated with evolving Databricks features and cloud platform updates is also essential for success in this dynamic role.

What is a Databricks Architect?

A Databricks Architect is an IT professional who designs, implements, and manages data solutions using the Databricks platform, which is built on Apache Spark. They are responsible for creating scalable data pipelines, optimizing data workflows, and ensuring security and compliance within the cloud environment. Databricks Architects often work closely with data engineers, data scientists, and business stakeholders to deliver robust analytics solutions that drive business insights. Their expertise helps organizations leverage big data technologies efficiently and effectively.
What are the most commonly searched types of Databricks Architect jobs in Texas? The most popular types of Databricks Architect jobs in Texas are:
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What job categories do people searching Databricks Architect jobs in Texas look for? The top searched job categories for Databricks Architect jobs in Texas are:
What cities in Texas are hiring for Databricks Architect jobs? Cities in Texas with the most Databricks Architect job openings:
Databricks Architect jobs near you
Infographic showing various Databricks Architect job openings in Texas as of July 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
Sr. Solutions Architect - Global Telecommunications

Sr. Solutions Architect - Global Telecommunications

Databricks

Amarillo, TX • On-site

Full-time

Posted 27 days ago

Job description

Job Summary:
Databricks is a leading data and AI company that provides a unified platform for data science and analytics. The role of Sr. Solutions Architect involves developing customer engagement strategies, coaching junior architects, and acting as a trusted advisor for data analytics architecture using the Databricks Data Intelligence Platform.
Responsibilities:
• Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.
• Coach junior Solutions Architects and teams on use case prioritization and building technical champions.
• You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy.
• Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform.
• Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
• Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management.
Qualifications:
Required:
• Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity.
• Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success.
• Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark.
• Hands-on expertise with complex proofs-of-concept and public cloud platform(s).
• Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape.
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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