Senior Data Warehouse Engineer
New York, NY, 10016
Job Title: Senior Data Warehouse Engineer
Location-Type: Remote
Start Date Is: ASAP
Duration: (contract, perm, etc) 3-5 Month Contract
Compensation Range: $82-95/hr W2
Benefits: Eligible for Health, Dental, Vision, 401K
Must be authorized to work in the U.S. This position is not eligible for sponsorship .
We are seeking an Enterprise Data Warehouse Engineer to design and build our first cloud data warehouse on Snowflake for a multi-tenant SaaS platform. This role will own the architecture from the ground up, including data ingestion, modeling, governance, security, tenant isolation, reporting, AI/ML enablement, and secure client data sharing. The ideal candidate is equally comfortable building hands-on and mentoring a team that is new to data warehousing.
Key Responsibilities
- Design and build the Snowflake data platform from scratch, including environments, data layers, RBAC, ingestion, transformations, orchestration, testing, monitoring, and CI/CD.
- Develop pipelines from Microsoft SQL Server, evaluating CDC, Change Tracking, batch, and managed ingestion solutions.
- Establish multi-tenant data architecture and security, including tenant isolation, row-level security, masking, encryption, auditing, retention, and compliance controls.
- Architect solutions for historical data, high-volume reporting, and data archival, reducing the footprint and performance impact on core SQL Server databases.
- Enable embedded/customer-facing analytics and reporting, including scalable query execution, caching, asynchronous processing, and cost controls.
- Build governed data models and semantic layers to support AI/LLM-driven analytics and text-to-SQL, with appropriate security and query guardrails.
- Design secure Snowflake data-sharing solutions for clients, including provisioning, access controls, monitoring, and revocation.
- Partner with engineering and business stakeholders to evaluate Snowflake, AWS, Databricks, Redshift, and lakehouse architectures and make pragmatic technology decisions.
- Mentor engineers new to data warehousing through pairing, code reviews, documentation, runbooks, and knowledge transfer, ultimately transitioning ownership to the internal team.
Required Experience:
- 8 years in data engineering or architecture, including 3 years of production Snowflake experience.
- Proven experience building an enterprise data warehouse from the ground up.
- Strong SQL Server expertise, including CDC/Change Tracking, large-scale data management, and performance optimization.
- Hands-on experience with dbt, data modeling, and modern ingestion/orchestration tools.
- Proven experience designing multi-tenant data platforms with strong tenant isolation.
- Strong background in data security, governance, RBAC, row-level policies, masking, auditing, and compliance.
- Solid AWS experience, particularly S3, IAM, and AWS AI/data services.
- Ability to clearly communicate architectural trade-offs around ELT vs. ETL, batch vs. streaming, warehouse vs. lakehouse, cost, scalability, and data freshness.
Preferred Qualifications:
- Embedded or customer-facing analytics experience.
- Production experience with LLM, text-to-SQL, or AI-powered data products.
- SnowPro Advanced certification.
- Experience with licensing, rights management, royalty, or entitlement data.
- Experience with Power BI, Sigma, Tableau, or similar BI platforms.
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