Staff Data Platform Engineer

Ovii's Interpretation of the Role

The Staff Data Platform Engineer leads the design and scaling of Tilt's Databricks‑based data warehouse. You will build self‑service pipelines, enforce governance, and ensure platform reliability for analytics and data science teams.

Role Snapshot

• Technical lead for data platform
• Design & scale Databricks warehouse
• Build self‑service batch & streaming pipelines
• Define SLOs, lineage, and observability
• Implement governance & multi‑tenancy guardrails
• Automate infrastructure with Terraform
• Mentor engineers and raise standards
• Produce comprehensive documentation

Must-Have Requirements

• Python (or another Object Oriented Language)
• Terraform (or similar IaC tool)
• Databricks
• Cloud provider stack (Azure, AWS, or GCP)
• Data governance, security, and multi‑tenancy competence
• CI/CD pipeline development
• Data engineering
• Data platform architecture
• Infrastructure automation
• must be authorized to work in the United States

Nice-to-Have Signals

• AI‑powered development tools (e.g., Claude, Augment)
• AI‑powered development tools

Work Setup

• Location: United States
• Work mode: REMOTE
• Remote scope: COUNTRY_RESTRICTED
• Remote countries: United States
• Travel: Company offsites minimum twice a year
• Employment type: Full-Time

Eligibility Gates

• Work authorization: must be authorized to work in the United States
• Visa sponsorship: no

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility details
• Education requirement
• Certifications

What You'll Likely Work On

• Architect the end‑to‑end Databricks data warehouse, including ingestion, storage, compute, and orchestration
• Create reusable, self‑service frameworks for batch and streaming data pipelines
• Define and enforce service‑level objectives, lineage tracking, and observability metrics
• Design governance and multi‑tenancy controls such as least‑privilege access and cost auditing
• Automate and harden data infrastructure and CI/CD processes for safe, scalable changes
• Lead incident triage, root‑cause analysis, and durable fixes for platform reliability
• Write and maintain documentation that enables analysts and downstream teams to use platform patterns independently
• Mentor engineers through design reviews, code reviews, and shared best‑practice standards

Good Fit If You Have

• 8+ years of data engineering or data platform experience
• Proven technical leadership in setting architecture direction
• Experience with AI‑powered development tools (e.g., Claude, Augment) is a plus