Description

You will lead the architecture, design, and deployment of core data platforms, data warehouses, and data modeling frameworks.

Responsibilities

• Lead the delivery and deployment of core data platforms and data warehouse architectures.
• Design and execute data governance and data quality frameworks.
• Build and manage data pipelines covering ingestion, validation, transformation, and storage.
• Decompose high-level requirements into clear engineering objectives and detailed specifications.
• Interface with product, laboratory, web services, and data science teams to drive solutions.

Required Skills

• B.S./M.S. in a quantitative field (Computer Science, Engineering, Mathematics, Physics, or Computational Biology) with 6+ years of experience, or a Ph.D. with 4+ years of experience.
• Substantial experience architecting scalable cloud-based data warehouses or data lakes on AWS, Azure, or GCP.
• Expertise in data modeling principles, including facts, dimensions, and SCDs.
• Proficiency in Python and Go.
• Experience with data pipelining and workflow engines such as Apache Airflow and Spark.
• Experience provisioning AWS infrastructure using Terraform or CloudFormation.
• Strong knowledge of relational databases, query authoring, and performance tuning.
• Experience implementing CI/CD for automation in cloud environments.

Preferred Skills

• Experience building microservices, web applications, and supporting machine learning pipelines.
• Proven track record managing data models for hundreds to thousands of tables.
• Experience with DevOps, containerized deployment, and infrastructure as code.

Key Skills

Education

Any Gradute