Director, Data Platform Engineering

Lila Sciences
San Francisco
Workplace: OnsiteFull timeUSD 232,000 - 346,000 annuallyFunction: DevOps, Cloud & InfrastructureExperience: 12+ yearsEducation: mastersSkills: ["Leadership","Stakeholder management","Communication","Mentoring","Performance management"]

Lead and scale a data platform engineering team responsible for the end-to-end data platform, infrastructure, and developer experience. Drive technical strategy, reliability, and performance of data ingestion, storage, processing, and ML/AI workflows; collaborate with data scientists, engineers, and product teams to deliver scalable, high-impact data solutions at petabyte scale.

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Lila Sciences
Lila Sciences
5 months ago

Director, Data Platform Engineering

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Last checked: 7 minutes agoStatus: Live

Job Summary

Lead and scale a data platform engineering team responsible for the end-to-end data platform, infrastructure, and developer experience. Drive technical strategy, reliability, and performance of data ingestion, storage, processing, and ML/AI workflows; collaborate with data scientists, engineers, and product teams to deliver scalable, high-impact data solutions at petabyte scale.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Director level

Key Responsibilities

  • •Build, mentor, and manage a high-performing team of 8-12 data engineering experts; provide guidance, perform reviews, and manage workload to ensure timely delivery
  • •Define and execute the technical roadmap for the data platform; drive innovation in data lakehouse and data serving ecosystems
  • •Partner with data scientists, data engineers, lab scientists, and product managers to understand data processing needs and communicate solutions effectively
  • •Represent Lila’s data platform at external conferences; deliver presentations and write blog posts highlighting leadership in big data processing
  • •Drive innovative, low-code data interfaces for exploration, query, analytics, and ML/inference solutions at scale

Pay and Benefits

Salary: USD 232,000 - 346,000 annually
Equity and Bonus:Equity
Perks:Annual BonusEquity

Key Requirements

  • •12+ years of software development experience with a focus on data processing at scale; 5+ years of experience leading senior engineers
  • •Experience with building on AWS/GCP primitives like S3 and Athena/BigQuery, and query engines
  • •Operated data platforms at petabyte scale with sub-second query latency
  • •Experience managing data infrastructure supporting 100+ concurrent ML training and inference workloads
  • •Hands-on coding in Python and modern backend frameworks; infrastructure-as-code and Kubernetes
Experience:12+ yearsData platformBig dataAiMl
Education:Master's in Computer Science
Skills:LeadershipStakeholder managementCommunicationMentoringPerformance management
Languages:English
Tech Stack:KafkaFlinkDuckDBClickHouseLakehouseCloud-native storageS3AthenaBigQueryKubernetesPython

Company Brief

Lila Sciences
Develops AI-driven platforms to accelerate drug discovery and biological research by integrating machine learning with chemical and biological data to predict molecular properties, streamline candidate selection, and enable faster therapeutic development.
Industry: Biotech
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Funding: Seed
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