Overview
Remote
Depends on Experience
Contract - Independent
Contract - W2
10% Travel
Skills
Snowflake
DBT
Data Architect
Job Details
Minimum Qualifications
- 10+ years end-to-end data engineering experience, 3+ years Snowflake (enterprise scale).
- 4+ dbt projects in production (or 3 if each >12 months, multi-domain).
- Advanced SQL (analytic functions, dynamic pivots, query-profile debugging).
- Working Python (Snowpark, pandas) for ELT helpers and test harnesses.
- Proven delivery of executive-grade financial dashboards or data marts must demonstrate understanding of eliminations, inter-company balances, multi-GAAP roll-ups.
- CI/CD with Git, dbt Cloud/CLI, and at least one orchestrator (Airflow, Prefect, Dagster).
- Cloud experience (AWS preferred: S3, IAM, Glue, Lambda or Step Functions).
- Strong communication skills: can brief non-technical finance leaders yet dive deep with architects.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or Finance/Accounting; MS or MBA a plus.
Preferred / Nice-to-Have
- Snowflake Snowpipe, Stream-&-Task, Dynamic Tables.
- Experience integrating SAP, Oracle E-Biz, or Workday Financials.
- Exposure to BI tools (Power BI, Tableau) and semantic layers (Cube, ThoughtSpot).
- Accounting / CPA coursework or hands-on consolidation system (OneStream, HFM).
- Great Expectations, Soda, or Monte Carlo for data observability.
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