Roles remotos de Snowflake con elegibilidad clara.

Architect and evolve cloud security guardrails. Design and implement SCPs, GCP org policies, and IAM controls that shape how Block uses cloud infrastructure for years to come.

Own data modeling, integration design, and governance across every engagement; serve as the senior technical authority from pre-sales through delivery.

Own data modeling, integration design, and governance across every engagement; serve as the senior technical authority from pre-sales through delivery.

Frame ambiguous marketing problems as well-scoped modeling and measurement challenges and own them end to end.

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, build, and own scalable data pipelines that ingest external and internal data into Snowflake, including automation of file-based ingestion processes.

Bachelor’s degree or equivalent experience

Own Salesforce as the engineering system of record for revenue: data model, custom objects and fields, flows and automation, validation rules, field governance, and access control.

Build the analytical foundation to evaluate compensation competitiveness. Connect Ashby offer data, band position, acceptance rates, and market benchmarks into a live system that recommends specific adjustments.

Build and execute Deepgram’s strategy across named technology partners including Genesys, Databricks, Snowflake, and major telecom providers

Serve as the primary technical escalation point for database-related customer issues, responding via email, ticketing systems, and video calls with precision and clarity.

Develop a clear, technical understanding of Prefect's platform — including durable execution, AI agent orchestration, MCP, and the broader ecosystem of competing solutions

Design and analyze marketing experiments across paid, lifecycle, and content channels; optimize CAC, LTV, and ROAS

Design and analyze product experiments to evaluate feature launches, onboarding changes, and in-product interventions with rigorous statistical methodology.

(functional and non-functional) to develop scalable, automated, fault-tolerant data pipeline solutions for business and technology initiatives Profile data to assess the accuracy and completeness of data sources and work with business

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.

Serve as the primary experimentation expert throughout customer evaluations, guiding technical discussions from discovery through proof of concept.

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.