Roles remotos de Snowflake para candidatos en México.

Own the technical relationship with Partner SEs, Partner PMs, Partner alliance leadership, and Partner Sales at Snowflake, Databricks, BigQuery, The Trade Desk, and key SIs.

Design, develop, and maintain secure, scalable ETL/ELT pipelines processing structured and unstructured data from multiple sources

Design and maintain logical and physical data models for both OLTP and OLAP/EDW systems

Work across Nova's query execution engine and distributed compute layer: query planning, columnar storage formats, encoding and compression, caching, and cluster-level resource management.

Build, evaluate, and maintain underwriting and decisioning models across Cash App Borrow and Afterpay.

Build financial operations and reporting infrastructure — Design and implement backend services for Accounting, FP&A, Tax, Procurement while keeping the company compliant.

Experiment and deploy AI copilot and autopilot systems at scale to improve analyst productivity and/or eliminate manual decision loops altogether.

Partner with product, engineering, data science, policy, and operations to design and productionize ML-driven risk solutions at scale

Independently challenge model owners across lending, fraud, and AML: reproduce their results, set and defend the acceptance thresholds, and own the call on whether a model is sound.

Lead the creation and optimization of existing data models through AI code generation on eventing, customer level, and process level data.

Design integrations across enterprise business systems, including Salesforce, Oracle Cloud, Snowflake, Looker, and external partner systems using MuleSoft or other Integration iPaaS platform

Define and evolve the architecture of legal systems, ensuring they are scalable, cohesive, and adaptable over time

Facilitate effective communication with client project stakeholders regarding project status and technical recommendations.

Strong hands-on experience with Azure Data Factory.

Collaborate with cross-functional teams to understand data requirements, identify potential data sources, and define data ingestion

Design, build, and maintain scalable data pipelines for analytics, ecommerce, logistics, and marketing.

Build and own end-to-end data pipelines in Snowflake — from raw ingestion through transformation to serving layers for AI products

Lead and mentor a team of data engineers, fostering best practices in coding, architecture, and data engineering standards.

Work with various ERP and IOT data sources to Build interactive and dynamic Power BI dashboards for data storytelling and stakeholder decision support

You have a strong track record of Customer Success experience in B2B SaaS (at least two years), supporting customers through the adoption and long-term optimization of complex technologies.

Contribute to trusted, reliable data models and semantic layer coverage that make AI-generated analyses more accurate.

Redesigned our mobile web app by talking with customers who use it often, wireframing new flows, implementing its design system, and using that system to turn the wireframes into a polished UI.

First, this role has always had the commitment of both Benji (CEO & Co-Founder) and me: I’ve held the role, steadfastly championed it since we started hiring in 2020