Lead, mentor, and scale the Platform Operations & Delivery team
Foster a culture of operational excellence, accountability, and continuous improvement
Manage capacity planning for incoming requests
Serve as the primary technical point of escalation for external partners and technology vendors
Oversee the end-to-end provisioning process for Data Clean Rooms
Transition ad-hoc setups into repeatable, automated patterns (Infrastructure as Code)
Define and enforce Service Level Agreements (SLAs) for data availability and freshness
Establish "Gold Standard" operating procedures for privacy checks, identity resolution and library deployments within environments
Own the compute and storage budget for the Operations pillar
Lead cost-optimization initiatives to refactor expensive pipelines, optimize warehouse sizing, and maximize ROI
Provide architectural guidance on complex integrations to ensure long-term maintainability
Build a "DevOps culture" focused on automation, observability, and continuous improvement
Implement InfoSec requirements
Design and build internal AI Agents to automate complex manual workflows and tasks

Requirements

Bachelor’s degree or higher in Computer Science, Information Systems, Software, Electrical or Electronics Engineering
10+ years of experience in Data Engineering or Platform Operations, with 4+ years in a people management role
Demonstrated success in managing 24/7 production data environments
Strategic experience with Ad Tech / Marketing Tech ecosystems (Measurement, Identity, Clean Rooms) and partner interoperability
Proven ability to partner with Product and Business leaders to translate business requirements into technical roadmaps
Extensive knowledge of Snowflake architecture (Snowpark, Native Apps, Data Sharing) or with Databricks (Lakehouse, Unity Catalog)
Strong financial acumen (FinOps); experience managing cloud budgets, forecasting compute spend, and driving cost-reduction initiatives across Snowflake/Databricks
Experience building applications with LLMs, RAG, Vector Databases, or frameworks like LangChain/LlamaIndex.
Preferred: SnowPro Core Certification or Databricks Certified Data Engineer Associate
Highly Preferred: SnowPro Advanced: Data Engineer or Databricks Certified Data Engineer Professional

Benefits

medical, dental and vision insurance
401(k)
paid leave
tuition reimbursement
a variety of other discounts and perks

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

Data EngineeringPlatform OperationsInfrastructure as CodeSnowflake architectureDatabricksLLMsRAGVector DatabasesLangChainLlamaIndex

Soft skills

leadershipmentoringoperational excellenceaccountabilitycontinuous improvementstrategic thinkingcollaborationcommunicationcost-optimizationarchitectural guidance

Certifications

Bachelor’s degreeSnowPro Core CertificationDatabricks Certified Data Engineer AssociateSnowPro Advanced: Data EngineerDatabricks Certified Data Engineer Professional