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Databricks Architect Jobs in Florida (NOW HIRING)

Data Architect

Tampa, FL · On-site

$60.25 - $77.50/hr

Data Architect - Tampa, FL At PMI U.S., we are building a modern nicotine business-focused on ... Relevant industry certifications (e.g., Snowflake SnowPro, Databricks Certified, AWS/Azure Data ...

ERP Technical Architect

Miami, FL · On-site

$63.25 - $76.50/hr

Job Title ERP Technical Architect Estimated Start Date 3/1/2026 Location Miami, FL Duration(Months ... Familiarity with enterprise data platforms like Azure Synapse, Databricks

Cloud FinOps Architect Lead

Ponte Vedra, FL · Hybrid

$61.75 - $78.75/hr

Databricks Efficiency: Design and support Azure Databricks environments with a strict focus on cost-efficiency, implementing Auto-termination, Spot Instance policies, and Unity Catalog governance.

Cloud FinOps Architect Lead

Ponte Vedra, FL · Hybrid

$61.75 - $78.75/hr

Databricks Efficiency: Design and support Azure Databricks environments with a strict focus on cost-efficiency, implementing Auto-termination, Spot Instance policies, and Unity Catalog governance.

Hands-on architecture across Azure services and Snowflake/Databricks (data lake/data platform patterns, data sharing, identity & access, vault/secrets management). * Demonstrated leadership producing ...

Hands-on architecture across Azure services and Snowflake/Databricks (data lake/data platform patterns, data sharing, identity & access, vault/secrets management). * Demonstrated leadership producing ...

Hands-on architecture across Azure services and Snowflake/Databricks (data lake/data platform patterns, data sharing, identity & access, vault/secrets management). * Demonstrated leadership producing ...

Hands-on architecture across Azure services and Snowflake/Databricks (data lake/data platform patterns, data sharing, identity & access, vault/secrets management). * Demonstrated leadership producing ...

Hands-on architecture across Azure services and Snowflake/Databricks (data lake/data platform patterns, data sharing, identity & access, vault/secrets management). * Demonstrated leadership producing ...

Hands-on architecture across Azure services and Snowflake/Databricks (data lake/data platform patterns, data sharing, identity & access, vault/secrets management). * Demonstrated leadership producing ...

Showing results 21-40

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?

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 Florida? The most popular types of Databricks Architect jobs in Florida are:
What job categories do people searching Databricks Architect jobs in Florida look for? The top searched job categories for Databricks Architect jobs in Florida are:
What cities in Florida are hiring for Databricks Architect jobs? Cities in Florida with the most Databricks Architect job openings:
Infographic showing various Databricks Architect job openings in Florida as of August 2026, with employment types broken down into 88% Full Time, 4% Part Time, and 8% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution.

Information Technology_USA - USA_Platform Architect

Real Soft, Inc.

Jacksonville, FL • On-site

$59 - $76/hr

Contractor

Re-posted 5 days ago


Job description

: MAX CONFIRMED to
Location: ONSITE- West Lake, CA or Carrolton, TX
Duration: 6 months
Role: Cloud Data architect
Descriptions: "Key Responsibilities
1. Architecture & Design
• Design end to end cloud data architectures, including ingestion, processing, storage, governance, and consumption layers.
• Define modern data platform patterns such as lakehouse, data mesh, and real time streaming architectures.
• Select appropriate cloud-native services (e.g., AWS Redshift/S3/Glue, Azure Synapse/ADF/Databricks, GCP BigQuery/Dataflow).
2. Data Engineering & Integration
• Architect pipelines for batch and real time data ingestion.
• Enable scalable data processing using Spark, Databricks, Kafka, Flink, or cloud-native tools.
• Define ETL/ELT frameworks and best practices.
3. Cloud Platform Expertise
• Build secure and scalable cloud data ecosystems.
• Optimize data storage, compute performance, cost, and operational efficiency.
• Implement Infrastructure as Code (Terraform, ARM, CloudFormation).
4. Data Governance & Security
• Develop data cataloging, lineage, classification, and DQ frameworks.
• Implement cloud IAM, role-based access, encryption, and compliance (GDPR, HIPAA, SOC2, PCI-DSS if BFSI).
5. Stakeholder Collaboration
• Work with business stakeholders to translate requirements into technical architectures.
• Partner with security, platform engineering, and product teams.
• Provide thought leadership in cloud data strategy and modernization.
6. Documentation & Best Practices
• Create reference architectures, standards, and reusable frameworks.
• Conduct architectural reviews and capacity planning."
"• 8+ years in data engineering/architecture; 3+ years in cloud-native architectures.
• Hands-on expertise in at least one major cloud:
o AWS (S3, Redshift, EMR, Glue, Athena, Lake Formation)
o Azure (Synapse, Data Lake, ADF, Databricks)
o GCP (BigQuery, Dataflow, Dataproc)
• Strong experience with:
o Distributed data processing (Spark, Databricks)
o SQL/NoSQL design
o Event streaming (Kafka, Kinesis, Pub/Sub)
o Data modeling (Star/Snowflake, Data Vault)
• Proficiency in Python, PySpark, SQL.
• Knowledge of data governance, security, metadata management.
Preferred Qualifications
• Cloud Architect certifications (AWS Solutions Architect, Azure Architect Expert, GCP Professional Data Engineer).
• Experience with BI/visualization tools (Power BI, Tableau, Looker).
• Familiarity with ML/AI platforms (Azure ML, SageMaker, Vertex AI).
• Experience in regulated industries (BFSI, healthcare)"
Skills: Digital : Amazon Web Service(AWS) Cloud Computing~Digital: Terraform~Digital : Databricks~Enterprise Architecture
Experience Required: 8-10, Project Code :