
Posted 9 days ago
Director of Engineering, Lakehouse Platform
TetraScienceDirector of Engineering, Lakehouse Platform
Perks & benefits
Education AllowanceHealth InsurancePaid Leave
Requirements
10+ years engineering experience, 4+ years data engineering or distributed systems, Expertise in Apache Spark, Delta Lake, or Iceberg, Experience leading 6+ engineers, Cloud-native fluency (AWS, GCP, or Azure), Infrastructure-as-Code (Terraform)
Skills
Apache SparkDelta LakeDatabricksAWSTerraform
About the role
Responsibilities
- Own and evolve the Lakehouse Platform and Infrastructure foundations, including storage layers, catalogs, and Spark query engines.
- Drive technical and operational strategy for the Lakehouse Data Products Platform to support biopharma AI.
- Lead, manage, and grow a team of 8+ engineers spanning Data Platforms and Infrastructure engineering.
- Act as a player-coach by writing code, building internal tools, and leading architecture and code reviews.
- Manage technical prioritization, sprint execution, and quarterly delivery commitments.
- Champion AI-assisted development practices and identify opportunities to apply AI to data quality and platform observability.
Requirements
- 10+ years of engineering experience, with at least 4 years focused on data engineering or distributed systems at production scale.
- Proven experience leading engineering teams of 6+ people with accountability for strategy and people development.
- Deep expertise in Lakehouse technologies such as Apache Spark, Delta Lake, or Apache Iceberg.
- Strong command of cloud-native environments (AWS, GCP, or Azure) and Infrastructure-as-Code (Terraform).
- Experience building, shipping, and operating Tier 1 production data platforms.
- Ability to communicate complex architectural decisions to both technical and non-technical stakeholders.
Preferred Qualifications
- Experience in regulated industries such as life sciences, healthcare, or financial services.
- Familiarity with scientific data pipelines or instrument data processing.
- Experience with real-time streaming technologies like Kafka or Apache Flink.
- Exposure to AI/ML workflows, including feature stores or vector search infrastructure.
- A prior career arc as a Staff or Principal level Individual Contributor.
Benefits
- Competitive compensation and stock options in a VC-backed Series C company.
- 100% employer-paid benefits for eligible employees and immediate family members.
- 401(k) and company-paid Life Insurance, LTD/STD.
- Unlimited paid time off (PTO).
- Flexible working arrangements.
About the Company
TetraScience is the Scientific Data and AI Cloud purpose-built for biopharma. Our platform harmonizes instrument, lab, and enterprise data into a unified scientific lakehouse, enabling AI-driven drug discovery and development at the world's leading pharmaceutical companies.
ScoutJobs Agent
Get matches like this delivered daily
Sign up free — we'll pull jobs that fit your CV from across the web and rank them for you.
Get started — it's freeDirector of Engineering, Lakehouse Platform
TetraScience · Boston
