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Databricks Architect Jobs in Kentucky (NOW HIRING)

Humana

Lead Solutions Architect

Louisville, KY · On-site

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

Humana

Lead Solutions Architect

Louisville, KY

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

Humana

Lead Solutions Architect

Louisville, KY · On-site

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

Booz Allen Hamilton

Salesforce Solution Architect

Frankfort, KY · On-site

$54.75 - $72/hr

Experience with data engineering and analytics platforms such as Databricks or Snowflake, focusing ... Salesforce System Architect, Salesforce Public Sector Solutions Accredited Professional, Salesforce ...

Humana

Business Intelligence Architect 2

Louisville, KY · On-site

Become a part of our caring community The Business Intelligence Architects 2 designs, builds, and ... Databricks experience * Ability to work in office 1-2 days per week (local candidates preferred ...

Humana

Business Intelligence Architect 2

Louisville, KY · On-site

Become a part of our caring community The Business Intelligence Architects 2 designs, builds, and ... Databricks experience * Ability to work in office 1-2 days per week (local candidates preferred ...

Humana

Business Intelligence Architect 2

Louisville, KY · On-site

Become a part of our caring community The Business Intelligence Architects 2 designs, builds, and ... Databricks experience * Ability to work in office 1-2 days per week (local candidates preferred ...

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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?

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 Kentucky? The most popular types of Databricks Architect jobs in Kentucky are:
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What cities in Kentucky are hiring for Databricks Architect jobs? Cities in Kentucky with the most Databricks Architect job openings:
Databricks Architect jobs near you
Infographic showing various Databricks Architect job openings in Kentucky as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution.

GenAI & Databricks Architect

Tata Consultancy Service Limited

Louisville, KY • On-site

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago

Job description

Must Have Technical/Functional Skills
• Design, delivery, and implementation of Google Cloud Platform (GCP) infrastructure and solutions.
• Architect design and implement large-scale migration pipelines from on-prem systems to Azure Data Lake Storage (ADLS).
• Architect experience in generating data pipelines in Azure ADF
• GCP Expertise: Strong knowledge of GCP AI/ML services and infrastructure.
• AI/ML Frameworks: Proficiency with TensorFlow or PyTorch.
• Technical Skills: Experience with Python, data modeling, SQL, and APIs.
• Infrastructure as Code: Experience with Terraform for automation.
• Experience: Proven ability in delivering AI/ML solutions in a cloud environment
• Experience with performing analytics on data for stakeholders.
• Experience in ingesting data from different sources using in Azure ADF
• Ensure reliable handling of high-volume unstructured data with performance and cost efficiency.
• Implement data quality checks, logging, and traceability to support audit and compliance needs.
• Experience in transforming data using Azure Databricks & Delta lake
Roles & Responsibilities
• Architecture & Design: Design enterprise-grade AI platforms, including RAG (Retrieval-Augmented Generation) and agentic solutions.
• GCP Implementation: Develop AI models using Vertex AI and Gemini, ensuring security and performance.
• Pipeline Development: Build and manage data pipelines, model lifecycle, CI/CD, and MLOps/LLMOps with Cloud Build and Vertex AI Pipelines.
• Cloud Infrastructure: Utilize GKE, Cloud Run, and BigQuery for robust application deployment.
• Strategy & Governance: Implement AI safety features, monitor model performance, and manage costs.
Salary Range: $120,000 -$140,000 year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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