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Databricks Architect Jobs in Texas (NOW HIRING)

Anblicks

Databricks Architect

Dallas, TX · On-site

$64.25 - $84.50/hr

We are looking for an experienced Databricks Architect to lead the design, development, and implementation of scalable data platforms on Databricks. The ideal candidate will have strong expertise in ...

Ruri Software Technologies LLC

Databricks Architect

Dallas, TX · On-site

$59.75 - $78.50/hr

Databricks Architect Location : Dallas, TX Duration : 8+ months * 12-15+ years relevant experience in building data strategy on various data management tools. * Extensive experience in Databrick (8 ...

The LaSalle Group

Databricks Senior Architect

Dallas, TX · On-site

$180K - $200K/yr

You'll own the end-to-end Databricks architecture (Unity Catalog, Medallion architecture, Delta Lake), lead a team of internal engineers, and direct external consulting partners to keep the migration ...

LaSalle Network

Databricks Senior Architect

Dallas, TX · On-site

$180K - $200K/yr

You'll own the end-to-end Databricks architecture (Unity Catalog, Medallion architecture, Delta Lake), lead a team of internal engineers, and direct external consulting partners to keep the migration ...

Infosys

Azure and Databricks Architect

Richardson, TX · On-site

$57.75 - $75.25/hr

Required Skill and Experience Strong experience in Azure cloud architecture with hands-on expertise in Azure Databricks. Deep knowledge of SQL for data transformation, optimization, and analytics.

CEDENT

Azure Databricks Engineer

Dallas, TX

$59.25 - $77.25/hr

Architect and implement end-to-end analytics solutions leveraging Databricks and other Azure services (e.g., Azure Data Lake, Azure SQL, Azure Blob Storage). * Lead the design of cloud-based ...

CEDENT

Azure Databricks Engineer (Dallas, TX)

Dallas, TX

$54.50 - $67.50/hr

Architect and implement end-to-end analytics solutions leveraging Databricks and other Azure services (e.g., Azure Data Lake, Azure SQL, Azure Blob Storage). Lead the design of cloud-based ...

Cedent

Azure Databricks Engineer (Dallas, TX)

Dallas, TX · On-site

$54.50 - $67.50/hr

Architect and implement end-to-end analytics solutions leveraging Databricks and other Azure services (e.g., Azure Data Lake, Azure SQL, Azure Blob Storage). * Lead the design of cloud-based ...

McKesson

Data Architect, Databricks

Irving, TX · On-site +1

$61.25 - $78.75/hr

This role will architect, standardize, and accelerate adoption of a modern Databricks lakehouse platform across the organization. You will partner closely with engineering, analytics, governance, and ...

McKesson

Data Architect, Databricks

Irving, TX · On-site +1

$61.25 - $78.75/hr

This role will architect, standardize, and accelerate adoption of a modern Databricks lakehouse platform across the organization. You will partner closely with engineering, analytics, governance, and ...

Vytwo

AI/ML Architect with Databricks , AWS

Prosper, TX · On-site

$60 - $70/hr

AI/ML Architect with Databricks , AWS Location : Los Angeles CA (Hybrid) Hire type : FTE / CTH Role Overview We are seeking an experienced AI/ML Architect with deep hands-on expertise in 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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Databricks Architect jobs near you
Databricks Architect

Databricks Architect

Anblicks

Dallas, TX • On-site

$64.25 - $84.50/hr

Other

Re-posted 6 days ago

Job description

We are looking for an experienced Databricks Architect to lead the design, development, and implementation of scalable data platforms on Databricks. The ideal candidate will have strong expertise in Spark, Delta Lake, data engineering, and cloud platforms (Azure/AWS/Google Cloud Platform), along with proven experience in architecting modern data solutions.
Key Responsibilities
  • Design and implement end-to-end data architecture using Databricks Lakehouse platform
  • Define data engineering best practices and build scalable ETL/ELT pipelines
  • Architect solutions leveraging Apache Spark (PySpark/Scala) and Databricks workflows
  • Implement Delta Lake for data reliability, performance, and governance
  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions
  • Optimize performance, cost, and scalability of data pipelines
  • Provide technical leadership, mentoring data engineers and developers
  • Ensure data security, governance, and compliance standards are met
  • Integrate Databricks with cloud services (Azure, AWS, or Google Cloud Platform) and other enterprise systems
  • Support real-time and batch data processing use cases
Required Skills & QualificationsTechnical Skills
  • Strong hands-on experience with Databricks Platform
  • Expertise in Apache Spark (PySpark / Scala / SQL)
  • Experience with Delta Lake, Unity Catalog, and Lakehouse architecture
  • Proficiency in data pipelines, ETL/ELT frameworks
  • Strong experience in SQL and data modeling
  • Hands-on experience with cloud platforms:
    • Azure (ADF, ADLS, Synapse) OR
    • AWS (S3, Glue, EMR) OR
Data Engineering Concepts
  • Data warehousing and data lake solutions
  • Batch & real-time data processing
  • Data governance and security frameworks
  • Performance tuning and optimization
Tools & Technologies
  • Databricks Workflows / Jobs
  • Airflow / ADF / Prefect (any orchestration tool)
  • CI/CD pipelines (Azure DevOps, GitHub Actions)
  • Streaming tools like Kafka (preferred)
Preferred Qualifications
  • Databricks Certifications (e.g., Databricks Certified Professional / Associate)
  • Experience in data migration to Databricks

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