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Job Description
The role involves building and maintaining large-scale data platforms and pipelines to support AI and analytics initiatives, enabling data-driven decision-making and generative AI applications within a revenue operations context.
Key Responsibilities
- Build, scale, and optimize data platforms and pipelines in Databricks and Spark for analytics and AI use cases
- Develop and evolve data models to support reporting, experimentation, and advanced workflows
- Implement monitoring, alerts, and testing to ensure data quality, timeliness, and lineage
- Support workflow orchestration for large-scale data processing and AI applications
- Design and optimize data pipelines for generative AI and embedding workflows
- 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
- 2-3 years of industry experience in data engineering, with significant experience building large-scale data platforms.
- Hands-on experience working with modern data technologies stack, such as Databricks, DBT, Redshift, RDS, Snowflake or similar solutions.
- 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.
- Familiarity with vector databases, embeddings, and retrieval systems.
- Experience with Salesforce, Gainsight, Gong, Outreach, or other CRM enablement tools as data sources.
- Proven ability to automate repetitive tasks, improve data hygiene, and enable experimentation across GTM data use cases.
- Exposure to observability, monitoring, and governance best practices for data and AI systems.
- Ability to collaborate closely with AI/ML teams while driving technical excellence in data engineering.
Benefits & Perks
Annual OTE salary range of $101,745 to $153,900 USD
Flexible working model supporting remote work and in-office presence
Comprehensive health and parental leave plans
Professional development stipend
Equity and performance-based bonus variable pay
Long-term career development opportunities
Inclusive work environment with accommodations for disabilities
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