3 hours ago
Boston, MA, USASenior
Base Salary
$145k - $230k/yr
Responsibilities
- Build governed ingestion pipelines and CDC/ELT integrations from SaaS systems and cloud billing sources into Snowflake.
- Develop conformed data models, tested transformations, semantic layers, freshness monitoring, lineage, drift alerting, and reliable backfills.
- Implement Snowflake RBAC, row- and column-level policies, masking, Okta-based identity inheritance, and cost attribution.
- Build retrieval layers with chunking, embedding pipelines, index freshness, and retrieval-quality evaluation.
- Create governed AI Landing Zones across AWS, GCP, Azure, and Snowflake, along with templates, deployment paths, documentation, and office hours for internal agent builders.
- Operate the core IT platform and automate employee joiner, mover, and leaver workflows through HRIS systems.
- Own cloud account structures, SCPs, IAM, and network segmentation while partnering with Security.
- Deliver production agents, data products, SaaS integrations, and automations that eliminate recurring manual work.
Requirements
- 7+ years of experience at the intersection of data engineering and infrastructure.
- Deep experience with Snowflake as an analytical warehouse, operational intelligence layer, and governed platform.
- Strong data modeling and transformation experience with dbt or an equivalent, plus orchestration using Dagster, Airflow, or Prefect.
- Strong software engineering fundamentals with required Python and assumed SQL; Go or Bash is a plus.
- Experience designing infrastructure as code at scale with Pulumi, CDK, or CloudFormation.
- Hands-on production experience with AI and LLM agents, RAG, tool-calling, and MCP or equivalent technologies.
- Deep AWS experience, including Bedrock, IAM, EventBridge, and Lambda, plus working knowledge of GCP and Azure.
- Experience integrating SaaS systems through REST, webhooks, and event hooks.
- Experience with Okta SSO and Workflows, Jamf packaging, Google Workspace, Jira, and HRIS-based employee lifecycle automation.
- Nice-to-have experience includes Kafka, Kinesis, Snowpipe, data observability and lineage tools, retrieval-quality evaluation, SOC 2 or ISO 27001, and production agents or automations that retired recurring work.
- Strong root-cause orientation, bias for shipping, and exceptional communication and people skills.
Benefits
- Hybrid work from the Boston office with some flexibility outside East Coast hours for global employees and customers.
- Collaborative, fast-moving environment with direct impact, ownership, creativity, curiosity, and opportunities to work with cutting-edge technology.
Tech Stack
Categories
About CloudZero
CloudZero is the financial control plane for AI economics. We turn AI spend into the unit economics leaders need to make defensible investment decisions: cost per customer, per feature, per outcome.