Brown-Forman

2 days ago

Lead AI & Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 45 minutes agoStatus: Live

Job Summary

Lead the engineering of a trusted, scalable cloud data foundation that powers analytics, reporting, Master Data Management, and next-gen AI capabilities. Partner with business stakeholders and data/AI teams to modernize data infrastructure, build resilient ETL/ELT pipelines, enable data modeling and quality, and prepare governed datasets for LLMs, RAG, vector search, conversational AI, and agentic workflows. Provide technical leadership across design, deployment, monitoring, and documentation.

Location: Louisville

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Partner with business stakeholders to define problems, clarify ambiguity, and translate needs into technical requirements, data products, and delivery plans.
•Drive modernization of data infrastructure from on-prem to cloud, including scalable lakehouse patterns for ingestion, transformation, storage, and consumption.
•Design, build, and operate resilient reusable ETL/ELT pipelines using Python, SQL, APIs, and cloud-native services, including SaaS and enterprise application integrations.
•Develop analytical models and enable MDM, data quality, and trusted datasets for reporting, advanced analytics, machine learning, and intelligent automation.
•Provide engineering excellence by developing, testing, deploying, monitoring, and documenting production-grade data solutions and coaching peers in cloud data engineering and AI delivery.

Key Requirements

•3+ years of dedicated experience in Data Science, Data Engineering, or AI (or 7+ years combined work and education).
•Experience building and deploying production-ready data and AI solutions with modern data architectures and cloud technologies.
•Strong Python and advanced SQL skills for scalable, maintainable, well-tested pipelines and complex transformations.
•Experience partnering with Enterprise Architecture, Integration, and Data Engineering teams to design and implement cloud data platform and lakehouse architectures.
•Ability to work with business stakeholders to translate non-technical needs into technical requirements and communicate decisions and tradeoffs clearly.

Experience:3+ yearsData scienceData engineeringAI

Skills:Business partnershipProblem definitionEngineering disciplineCommunicationTechnical leadership

Tech Stack:PythonSQLAPIsETLELTCloud-native servicesLakehouseMaster Data Management (MDM)TableauAWS QuickLLMsRAGVector-searchConversational AIAgentic workflowsDatabricksHadoopClouderaImpala

Company Brief

Brown-Forman

Produces and markets premium alcoholic beverages, including whiskey, tequila, vodka, and wine. Best known for brands such as Jack Daniel’s, Woodford Reserve, Old Forester, and Herradura, with a global distribution footprint.

Industry: Food & Beverage

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Louisville, United States

Founded: 1870

Glassdoor: 3.9

Website LinkedIn Glassdoor

Loading job details...

Preparing the role view and application actions.

Brown-Forman

2 days ago

Lead AI & Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 45 minutes agoStatus: Live

Job Summary

Location: Louisville

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Partner with business stakeholders to define problems, clarify ambiguity, and translate needs into technical requirements, data products, and delivery plans.
•Drive modernization of data infrastructure from on-prem to cloud, including scalable lakehouse patterns for ingestion, transformation, storage, and consumption.
•Design, build, and operate resilient reusable ETL/ELT pipelines using Python, SQL, APIs, and cloud-native services, including SaaS and enterprise application integrations.
•Develop analytical models and enable MDM, data quality, and trusted datasets for reporting, advanced analytics, machine learning, and intelligent automation.
•Provide engineering excellence by developing, testing, deploying, monitoring, and documenting production-grade data solutions and coaching peers in cloud data engineering and AI delivery.

Key Requirements

•3+ years of dedicated experience in Data Science, Data Engineering, or AI (or 7+ years combined work and education).
•Experience building and deploying production-ready data and AI solutions with modern data architectures and cloud technologies.
•Strong Python and advanced SQL skills for scalable, maintainable, well-tested pipelines and complex transformations.
•Experience partnering with Enterprise Architecture, Integration, and Data Engineering teams to design and implement cloud data platform and lakehouse architectures.
•Ability to work with business stakeholders to translate non-technical needs into technical requirements and communicate decisions and tradeoffs clearly.

Experience:3+ yearsData scienceData engineeringAI

Skills:Business partnershipProblem definitionEngineering disciplineCommunicationTechnical leadership

Tech Stack:PythonSQLAPIsETLELTCloud-native servicesLakehouseMaster Data Management (MDM)TableauAWS QuickLLMsRAGVector-searchConversational AIAgentic workflowsDatabricksHadoopClouderaImpala

Company Brief

Brown-Forman

Industry: Food & Beverage

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Louisville, United States

Founded: 1870

Glassdoor: 3.9

Website LinkedIn Glassdoor