4 months ago

Director, Data Platform Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours 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

Industry: Biotech

Website

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Lila Sciences

4 months ago

Director, Data Platform Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Job Summary

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

Industry: Biotech

Website