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# Technical Lead

- **Company:** Monaco Enterprises, Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, BigQuery, Data Infrastructure, Data Warehousing, Python (Programming Language), Standard Sql, Enterprise Software Applications, Data Ingestion, Snowflake, Data Management, Data Pipelines, Amazon Redshift, Databricks
- **Published:** October 30, 2026
- **Apply:** https://www.careerbuilder.com/job-details/technical-lead-san-francisco-ca--4a6cc1bd-01c6-4da8-a39e-e44060e25d17

## About the Role

Technical Leadership, Sales Pipeline, Customer Relationship Management (CRM), Artificial Intelligence (AI), Enterprise Applications, Technical Leadership, Data Analysis, Data Management, Machine Tool, Documentation Models, * Prior experience as a tech lead or equivalent - youve set technical direction and owned outcomes, not just executed tasks.

 * Strong SQL and data modeling skills; comfortable owning a dbt project end to end.
 * Experience with modern data warehouses (Databricks, Snowflake, BigQuery, Redshift, etc.).
 * Python proficiency for analysis and automation.
 * Clear technical communicator who can align stakeholders and cut through ambiguity in a fast paced environment.

Nice to Have

 * Experience with working with GTM or revenue data.
 * Experience with learning, maintaining and cleaning large scale data patterns.

## Description

Were looking for a Technical Lead to own the technical direction of Monacos Data Ingestion Team. Youll drive data infrastructure, analytics, and insights that power how our customers and internal teams make decisions. This is a hands-on role, youll be in the code every day but were looking for someone whos led before and knows how to set technical direction, raise the bar, and make the people around them better.

What Youll Do

 * Own the architecture and execution of our company and contact data pipeline.
 * Define and drive data ingestion initiatives end to end, from scoping to delivery.
 * Set the technical standard for how we work with data: tooling choices, modeling practices, and documentation.
 * Partner closely with product, engineering, and go-to-market teams and external vendors to turn data into leverage.