Principal Data Engineer
Role details
Job location
Tech stack
Job description
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Define and own the technical strategy and architecture for our entire data platform: ingestion, storage, processing, governance, and consumption
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Design and implement scalable, reliable ETL/ELT pipelines handling complex scientific datasets, supply chain inputs, and business data
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Lead the design of canonical data models for our data warehouse and operational stores, ensuring quality, consistency, and integrity
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Define and maintain a single source of truth for clients, suppliers, and transactions across systems (Salesforce, NetSuite, internal databases)
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Implement data governance, security policies, automated quality checks, and robust monitoring across all pipelines
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Work with the infrastructure team to provision Azure data resources using Terraform or equivalent IaC tooling
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Partner with our Science teams to ensure accurate ingestion and translation of raw scientific data
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Mentor engineers across the team on best practices for building and consuming data services
Requirements
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7+ years in data engineering, with significant time in a Principal, Lead, or Architect role defining data strategy
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Deep, practical experience with Databricks - architecture and implementation
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Strong hands-on experience across the Azure data stack: Data Factory, Data Lake, Synapse Analytics, Azure SQL/Cosmos DB
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Expert-level Python and SQL, with a strong focus on clean, tested, performant data processing code
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Proven track record designing and implementing scalable data warehouses and data marts
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Experience with workflow orchestration, CI/CD for data pipelines, and IaC (Terraform)
Desirable
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Experience with scientific, geospatial, or time-series data
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Background in governance or compliance environments
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Familiarity with streaming data technologies
The Recruitment Process
We like to keep our recruitment process smooth and efficient, giving you the opportunity to showcase your skillset in a comfortable environment. The process for this position is a 2-stage interview and short take home task.
