Director of Engineering, Lakehouse Platform at TetraScience - ScoutJobs - The AI-curated global job board
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TetraScience
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.

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Director of Engineering, Lakehouse Platform

TetraScience · Boston

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