ZipRecruiter

Log In

1

Databricks Architect Jobs in Kentucky (NOW HIRING)

Pwc

Data Engineer - Manager

Louisville, KY

... Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the ...

Pwc

Data Engineer - Senior Associate

Louisville, KY · On-site

$77K - $202K/yr

... Databricks - Utilizing cloud platforms such as AWS and Microsoft Azure - Excelling in data architecture development and data modeling - Implementing data pipeline and data integration strategies ...

Omm IT Solutions

Technical Project Manager

Woodlawn, KY · On-site

$120 - $160/hr

Collaborate with engineering, architecture, and DevOps teams to define technical requirements ... Experience with big data technologies (Spark, Hadoop, Databricks) and data warehousing (Snowflake ...

Pwc

Data Engineer - Senior Associate

Louisville, KY · On-site

$77K - $202K/yr

... Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies ...

Pwc

Data Governance- Manager

Louisville, KY · On-site

$99K - $232K/yr

... Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data ... Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel ...

Deloitte

Cyber Data Protection Manager

Louisville, KY · Remote

$106K - $144K/yr

Hands-on technical experience and/or architecture-level experience with Microsoft Purview ... M365 security, Databricks, Snowflake) * 3+ years of professional experience developing data ...

Deloitte

Lead AI and Data Science Engineer II

Louisville, KY · On-site

$98K - $129K/yr

Partner with data engineering teams on pipeline architecture and infrastructure, using knowledge of ... Databricks environments * Experience developing artificial intelligence (AI) or generative ...

Fischer Homes

SENIOR DATA ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

... Synapse, Databricks, Snowflake, or a similar cloud data platform. * Experience implementing data ingestion strategies, incremental loading, watermarking, and reliable pipeline architecture.

FISCHER HOMES

SENIOR DATA ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

... Synapse, Databricks, Snowflake, or a similar cloud data platform. * Experience implementing data ingestion strategies, incremental loading, watermarking, and reliable pipeline architecture.

FISCHER HOMES

SENIOR DATA ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

... Synapse, Databricks, Snowflake, or a similar cloud data platform. * Experience implementing data ingestion strategies, incremental loading, watermarking, and reliable pipeline architecture.

Fischer Homes

SENIOR DATA ENGINEER

Erlanger, KY · On-site

$104K - $142K/yr

... Synapse, Databricks, Snowflake, or a similar cloud data platform. * Experience implementing data ingestion strategies, incremental loading, watermarking, and reliable pipeline architecture.

previous pagenext page

Showing results 21-40

All JobsDatabricks Architect JobsDatabricks Architect Jobs in Kentucky

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:
What are popular job titles related to Databricks Architect jobs in Kentucky? For Databricks Architect jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Databricks Architect jobs in Kentucky look for? The top searched job categories for Databricks Architect jobs in Kentucky are:
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.

Vice President, Enterprise Architecture & Engineering Services

BrightSpring

Louisville, KY • On-site

$164K - $212K/yr

Full-time

Re-posted 6 days ago

Job description

Our Company
BrightSpring Health Services
Overview
We are seeking a senior technology leader to serve as Vice President of Enterprise Architecture and Engineering Shared Services, accountable for defining and governing the enterprise's technology direction, architectural integrity, and shared engineering capabilities.
This role sits at the intersection of Enterprise Architecture (EA) and Engineering Shared Services, ensuring that technology decisions, platforms, and automation capabilities are standardized, scalable, secure, and aligned to business strategy across the enterprise.
The VP will own enterprise-wide patterns, standards, best practices, frameworks, and technology selection under Enterprise Architecture, while also leading shared engineering capabilities including Enterprise RPA, Agentic AI platforms, DevOps, and Intelligent Automation. The role partners closely with product, clinical, operations, security, and data leaders to enable rapid innovation without compromising governance, compliance, or sustainability.
Enterprise Architecture
  • Enterprise patterns, standards, and reference architectures
  • AI Center of Excellence (AI CoE)
  • Technology selection, rationalization, and lifecycle governance
  • Architecture frameworks, design authorities, and guardrails
  • Interoperability, scalability, resilience, and compliance alignment
Engineering Shared Services
  • Enterprise RPA and workflow automation platforms
  • Agentic AI and Generative AI enablement platforms
  • DevOps, CI/CD, DevSecOps, and MLOps shared services
  • Intelligent Automation frameworks and reusable capabilities

Responsibilities
Enterprise Architecture Leadership
  • Define and maintain enterprise architecture standards, patterns, and reference architectures across application, data, integration, AI, and automation domains.
  • Establish and lead the Enterprise AI Center of Excellence (AI CoE), responsible for:
    • Enterprise AI and Agentic AI standards, patterns, and guardrails
    • Approved AI frameworks, platforms, and model usage policies
    • Responsible AI, security, compliance, and risk alignment (HIPAA, PHI handling, model governance)
    • Reusable AI capabilities, accelerators, and reference implementations
  • Establish and govern technology selection and lifecycle management, ensuring alignment with enterprise strategy, security, and compliance requirements.
  • Lead architectural governance forums (e.g., design authorities, architecture review boards) to ensure consistency and reduce technical debt.
  • Ensure enterprise platforms and solutions adhere to healthcare interoperability and regulatory standards (FHIR, HL7, HIPAA).
Engineering Shared Services Enablement
  • Lead enterprise shared services for RPA, Agentic AI, DevOps, and Intelligent Automation as reusable, productized capabilities.
  • Oversee the design and evolution of enterprise automation platforms, enabling scalable automation across clinical, pharmacy, revenue cycle, and corporate functions.
  • Establish DevOps, DevSecOps, and MLOps standards that accelerate delivery while maintaining security and operational excellence.
  • Enable responsible adoption of Generative AI and Agentic AI, including orchestration frameworks, model integration patterns, and guardrails.
Strategy, Governance, and Enablement
  • Partner with product, engineering, security, data, and business leaders to align architecture and shared services with enterprise priorities.
  • Define metrics and KPIs to measure architectural health, platform adoption, automation impact, and engineering productivity.
  • Manage budgets, vendors, and strategic technology investments across EA and shared engineering services.
  • Build and mentor high-performing architecture and platform engineering leaders and teams.
  • Drive enterprise training and enablement on architecture standards, automation platforms, and modern engineering practices.

Qualifications
  • 15+ years of experience in enterprise architecture, platform engineering, or large scale technology leadership within healthcare or regulated industries.
  • Proven experience defining enterprise architecture standards, patterns, and technology governance at scale.
  • Strong background in automation technologies, including RPA, workflow orchestration, and intelligent automation.
  • Deep familiarity with Generative AI, Agentic AI, AI platform architecture, and MLOps.
  • Hands on experience with cloud native architectures (Azure preferred), enterprise data platforms (e.g., Databricks), and integration frameworks.
  • Strong understanding of healthcare interoperability standards and regulatory compliance.
  • Executive level communication and stakeholder management skills with the ability to influence without direct ownership of product teams.
  • Track record of balancing innovation velocity with architectural discipline and risk management.
Nice to Have
  • Experience establishing enterprise AI or automation centers of excellence.
  • Thought leadership, speaking, or published work in enterprise architecture or healthcare technology.

About our Line of Business
BrightSpring Health Services provides complementary home- and community-based health solutions for complex populations in need of specialized and/or chronic care. Through the Company's service lines, including pharmacy, home health care, and rehabilitation, we provide comprehensive and more integrated care and clinical solutions in all 50 states to over 475,000 customers, clients and patients daily. BrightSpring has consistently demonstrated strong and industry-leading quality metrics across its services lines, while improving the health and quality of life for high-need individuals and reducing overall healthcare system costs.For more information, please visit www.brightspringhealth.com. Follow us on Facebook, LinkedIn, and X.
Additional Job Information
Why Join Us?
  • Shape the enterprise technology foundation for AI-driven healthcare at scale.
  • Lead platforms and standards that enable innovation across dozens of product and business teams.
  • Operate at executive altitude with direct impact on strategy, governance, and delivery.
  • Competitive executive compensation, benefits, and performance incentives.