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Senior Data Architect

2 months ago

San Francisco, California, United States Storm3 Full time
Job Description

Company Overview

Storm3 is a leading HealthTech recruitment firm, serving clients across major Tech hubs in Europe, APAC, and North America.

Job Summary

We are seeking an experienced Data Architect/Engineer Lead - ML to join our fast-growing AI/ML team. This Lead will design and develop data model/lakehouse and work alongside ML architects & scientists to scale data curation and pipelines for ML on a modern tech stack that enables the productization of unique phenotypic, target-agnostic drug discovery platforms.

Key Responsibilities

  • Data Lakehouse Infrastructure
    • Design, implement, and support data lakehouse infrastructure using modern cloud-service stack (AWS preferred): Python, S3, Batch, Lambda, EKS, IAM, Rest (Redshift, Glue, Athena, ECR, Parquet is a plus)
  • ETLs and Real-Time Data Pipelines
    • Develop ETLs and real-time data pipelines to source & curate data from internal and public data sources (experience with biopharma data: image, omics, molecular is a plus)
  • Data Model Ownership
    • Ownership of end-to-end data model (for structured and unstructured data) for ML training & inference and statistical analysis

Requirements

  • Education
    • Bachelor's degree (Master's preferred, or equivalent years of industry experience) in computer science, engineering, analytics, mathematics, statistics or equivalent
  • Technical Expertise
    • Deep expertise working with large data sets, data visualization, building complex data processes, performance tuning, bringing data from disparate data stores and programmatically identifying patterns to optimize ML utilization
  • Experience
    • 5+ years of software development experience working on large scale cloud-based services & data environment:
      • Python for data modeling, warehousing, and ETL
      • Relational SQL and NoSQL databases (experience with large non-relational DBs/stores: object, graph, columnar DBs/stores are a plus)
      • Automated build processes with CI/CD in cloud, cluster & workload management
      • Adherence to production environments (agile, regression testing, version control)
      • Familiarity with big and real-time data governance and ML workflow orchestration (experience with Spark, Databricks, MLflow is a plus)

Bonus Qualifications

  • Experience developing software components in a start-up environment
  • Experience in biotech and drug discovery
  • A self-reliant problem-solver who also excels in teamwork, characterized by strong data-driven, first principled decision-making and superb communication skills

Work Environment

Remote within the USA