drjobs Principal Engineer

Principal Engineer

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1 Vacancy
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Job Location drjobs

London - UK

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Must have Skills: AWS Code Deploy Technical Solutioning (Expert) Cloud architecture (Strong)

Good To Have Skills: FastAPI (Strong) Machine Learning Solution Design (Capable)

Job Description:

  • Develop the Platform & Solutions Architecture at Scale Define and execute a comprehensive AWSbased data roadmap embracing modern data Architecture patterns (serverless computing containerization eventdriven architectures) for unstructured semistructured and structured datasets.
  • Deep understanding of modern data architectures metadata management storage solutions and AIdriven data processing techniques to support enterprisewide search retrieval compliance and analytics Develop data ingestion transformation and enrichment pipelines for documents messages images videos and other unstructured content across platforms.
  • Define storage strategies including structured and semistructured repositories object stores and data lakes for optimal data retrieval and compliance.
  • Drive continuous improvement of data governance security and compliance aligning with international regulations (GDPR CCPA etc..
  • Drive Data Platform Engineering Oversee the endtoend engineering of data platforms supporting data ingestion pipelines for batch filebased and APIbased integrations.
  • Build and optimize data storage solutions including data lakes data warehouses vector databases graph databases and index stores.
  • Architect the scalable reliable scalable Design and compute layers with reusable ETL components AI/ML pipelines for metadata preprocessing chunking and tokenization.
  • Implement robust observability and monitoring frameworks to ensure data quality minimize downtime and optimize performance across the enterprise.
  • Collaborate with crossfunctional teams including Data Engineering Cloud Infrastructure AI/ML teams and Data Analysts to align solutions with business needs.
  • Translate business requirements into scalable data solutions Understand business requirements by collaborating with business data and technical teams. Align priorities architecture decisions and implementations to maximize business value.
  • Partner with stakeholders to ensure data solutions support business goals while meeting compliance and security standards.
  • AWSCentric Architecture: Strong expertise in designing deploying and managing cloudnative data solutions (e.g. S3 Redshift EMR Lambda Kinesis DynamoDB).
  • LargeScale Data Architecture: Experience with highvolume data pipelines including realtime streaming eventdriven microservices and petabytescale data processing.
  • Advanced Analytics & AI: Familiarity with machine learning pipelines generative AI embeddings and vector databases along with a record of accomplishment of productionizing ML models.
  • Strong expertise in unstructured data architectures including document repositories object storage and NoSQL databases.
  • Experience designing and implementing data lakes data warehouses or knowledge graphs for unstructured data.
  • Handson experience with data integration frameworks (ETL ELT APIbased ingestion eventdriven architectures).
  • Familiarity with cloudnative solutions (Azure AWS GCP) for data storage processing and security. Experience with data governance and compliance frameworks for managing sensitive corporate information. Knowledge of GenAI technologies and selling their value Including (conceptually) LLM access and training and data handling in the GenAI context.

Remote Work :

No


Employment Type :

Fulltime

Employment Type

Full-time

Company Industry

Department / Functional Area

Engineering

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