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Databricks Architect Jobs in Houston, TX (NOW HIRING)

Solutions Architect

Houston, TX · On-site

$60.25 - $79.25/hr

DATABRICKS ARCHITECT Job Requisition |Houston, TX | 3-5 Years of Experience EXPERIENCE 3-5 years CERTIFICATION Databricks Data Engineer -- required WORK MODEL Houston-based / client-facing About ...

Databricks Certified Data Engineer Professional Key Responsibilities: * Design and implement ... Architect and optimize ETL/ELT pipelines for batch and real-time processing. * Collaborate with ...

Databricks Azure Consultant

Houston, TX · On-site

$52.50 - $65.25/hr

Databricks Azure Location: Houston, TX - Hybrid 2-3 days Duration: 6 months JD: Role Summary * We ... Collaborate with business users, architects, and developers to understand requirements and deliver ...

In this architecture, all core transformations will be built directly within Databricks using Databricks Workflows and Jobs. The ideal candidate must have deep experience with Unity Catalog, DevOps ...

Sr. Solutions Architect

Houston, TX · On-site

$219.10 - $301.30/hr

Working with the Enterprise Account Executive (AE), the Senior Solutions Architect defines and ... You work with multiple clients as the main technical voice for Databricks. * You lead your ...

IT Security Architect

Houston, TX · On-site

$150 - $210/hr

This is a senior, hands-on architecture role focused on securing the organization's multi-cloud ... Hands-on Databricks security experience (Unity Catalog, network isolation, access governance ...

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Databricks Architect information

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 key skills and qualifications needed to thrive as a Databricks Architect?

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 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 most commonly searched types of Databricks Architect jobs in Houston, TX?

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

What are popular job titles related to Databricks Architect jobs in Houston, TX?

For Databricks Architect jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Databricks Architect jobs in Houston, TX look for?

The top searched job categories for Databricks Architect jobs in Houston, TX are:

What cities near Houston, TX are hiring for Databricks Architect jobs?

Cities near Houston, TX with the most Databricks Architect job openings:

Infographic showing various Databricks Architect job openings in Houston, TX as of August 2026, with employment types broken down into 91% Full Time, 3% Part Time, 2% Temporary, and 4% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution.

Sr. Databricks Architect/Lead/Engineer

SmartIMS Inc.

Houston, TX • On-site

$52.75 - $72.25/hr

Other

Posted 4 days ago


Job description

Title: Databricks Architect/Lead/Engineer
Location:Houston, TX — candidate must be based in Houston (local candidates only)
Work Model:Onsite, 3 days per week in office (hybrid)
Engagement Type: Contract
Duration: 2 years (with potential to extend up to 5 years)

Description:
•Design the overall Databricks Lakehouse architecture, including ingestion, storage (Delta Lake), processing, and consumption layers.
•Define reference architectures, design patterns, and best practices for data engineering, analytics, and ML workloads.
•Lead decisions on workspace organization, compute strategy (clusters, SQL warehouses, serverless), and cost optimization.
•Architect data governance and security using Unity Catalog, including access controls, lineage, and data classification.
•Establish CI/CD, DevOps, and Infrastructure-as-Code standards for the platform (e.g., Terraform, Databricks Asset Bundles).
•Guide integration with cloud services (AWS / Azure / Google Cloud Platform) and source systems.
•Partner with stakeholders, security, and leadership to translate business requirements into technical roadmaps.
•Provide technical oversight and mentorship to tech leads and engineers.

Required Qualifications
•10+ years in data architecture / data engineering, with 4+ years hands-on with Databricks.
•Deep expertise in Delta Lake, Spark (PySpark/Scala), and the Lakehouse architecture.
•Strong knowledge of Unity Catalog, data governance, and security models.
•Experience architecting on at least one major cloud (AWS, Azure, or Google Cloud Platform).
•Proven track record designing large-scale, production data platforms.
•Strong stakeholder management and the ability to communicate architecture to both technical and business audiences.

Preferred
•Databricks certifications (e.g., Databricks Certified Data Engineer Professional, Solutions Architect).
•Experience with streaming (Structured Streaming, Kafka), MLflow, and lakehouse ML workflows.
•Background in oil & gas, energy, or other large enterprise environments.


Smart IMS logo

About Smart IMS

Sourced by ZipRecruiter

Smart IMS has grown to be one of the trusted technology and service partner for enterprises across the globe. Founded by business and technology experts with extensive experience in designing, implementing, and managing large and complex projects at Fortune 500 companies, we’ve perfected the craft of creating solutions that truly make a difference.

Industry

Technology, communication and media

Company size

201 - 500 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994