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Job Description
The role involves building and managing large-scale data platforms and pipelines using Databricks to support AI and machine learning applications, enabling the company's go-to-market strategies and ensuring reliable, scalable data infrastructure.
Key Responsibilities
- Own and operate the Databricks data store to ensure performance, scalability, and reliability.
- Build and manage visualization and AI data stores to support analytics, machine learning, and AI applications.
- Design and optimize bulk data pipelines in Databricks for generative AI applications at scale.
- Partner with AI engineers and data scientists to enable experimentation, model training, and deployment.
- Develop frameworks for data ingestion, transformation, governance, and monitoring across CRM and revenue systems.
Requirements
- Minimum of 5 years of industry experience in data engineering, with significant experience building large-scale data platforms.
- Deep expertise in Databricks, Spark, and modern data lakehouse architectures.
- Proficiency in Python and SQL, with experience in designing robust ETL/ELT pipelines.
- Experience orchestrating data workflows at scale and enabling machine learning or AI use cases.
- Strong understanding of data modeling, performance optimization, and cost-efficient infrastructure design.
- Located in and authorized to work in the United States; this is a fully remote role.
- Experience enabling generative AI workflows in Databricks or similar platforms (preferred).
- Familiarity with vector databases, embeddings, and retrieval systems (preferred).
- Experience with CRM enablement tools such as Salesforce, Gong, Outreach, or similar as data sources (preferred).
- Track record of owning and scaling mission-critical data infrastructure in a high-growth environment (preferred).
- Exposure to observability, monitoring, and governance best practices for data and AI systems (preferred).
- Ability to collaborate closely with AI/ML teams while driving technical excellence in data engineering.
Benefits & Perks
Competitive total compensation package
Employee-led remote and flexible working
Health benefits
Inclusive work environment with accommodations for persons with disabilities
Opportunities for in-person, hybrid, or fully remote work depending on role requirements
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