Staff Analytics Engineer - Finance Data Architect (Remote)

Wwshemi; United States; Hybride; USD 207 000 - 244 000; Plein temps

Résumé du poste

Coinbase in the United States is seeking a Finance Analytics professional to own the financial data foundation, managing source-of-truth datasets in Snowflake/Databricks and building audit-ready pipelines for month-end close.

You will partner with Accounting/FP&A, design scalable data models, implement tests and SLAs, and drive data contracts with upstream teams while mentoring Analytics Engineers and delivering reusable Python tooling.

Qualifications

• Accounting/finance degree or CPA/CMA
• Strong SQL and Python
• Deep data modeling for star/snowflake schemas
• Production ETL/ELT pipelines with dbt, Airflow
• Modern data warehouse experience (Snowflake/Databricks/BigQuery/Redshift)

Responsabilités

• Partner with Accounting and FP&A to support month-end and quarter-end close with datasets, reconciliations and reporting.
• Make financial data and pipelines audit-ready with SOX controls, lineage and change management.
• Design and own curated source-of-truth datasets in Snowflake/Databricks aligned to the general ledger.
• Build and own scalable pipelines with Airflow/dbt including backfills and runbooks.
• Define data quality, reconciliation frameworks, tests and SLAs; agree on what done means for financial correctness.
• Drive data contracts with upstream teams and mentor Analytics Engineers using reusable tooling.

Connaissances

SQL

Python

Data modeling

ETL/ELT pipelines

dbt

Airflow

Snowflake

Databricks

BigQuery

Redshift

Formation

Accounting/Finance degree or CPA/CMA

Outils

dbt

Airflow

Snowflake

Databricks

BigQuery

Redshift

Description du poste

Coinbase in the United States is seeking a Finance Analytics professional to own the financial data foundation, managing source-of-truth datasets in Snowflake/Databricks and building audit-ready pipelines for month-end close.

You will partner with Accounting/FP&A, design scalable data models, implement tests and SLAs, and drive data contracts with upstream teams while mentoring Analytics Engineers and delivering reusable Python tooling.