Data Solution Architect

Referans No: HG-1608043980-2535

İş Alanı: Otomotiv

Şehir: İstanbul

Pozisyon Tipi: Tam Zamanlı

Eklenme Tarihi: 21-01-2021

Responsibilities:

  • Function as a thought-leader for the data platform teams; identify upcoming issues and present solutions in advance to support ongoing development
  • Analyze complex technical scenarios and provide recommendations based on research and proof-of-concepts
  • Create documentation and visual artifacts outlining designs that enable engineers to replicate solutions
  • Lead data storage selection, analyze and provide recommendations to match data storage mediums to access patterns and non-functional requirements
  • Support the design and scaling of the system
  • Support the design and development of the company’s data science production environment
  • Lead microservice design for core data utilities, including master data management, data cataloging, lineage, and other core functions
  • Advise on monitoring, optimization, and operationalization of services within the data platform
  • Support technology cost analysis and capacity planning
  • Monitor the ever-changing technology landscape, provide recommendation to best support Hagerty’s data-centric vision

Required Experience:

  • Bachelor’s degree in Computer Science/Engineering or relevant areas
  • 5+ years of progressively responsible technology experience
  • Proven ability to communicate clearly to a variety of stakeholders over different mediums
  • Able to work independently, navigate ambiguity on requirements and scope, and manage multiple disparate projects with competing deadlines
  • Working knowledge of IT processes such as ITIL, Agile, DevOps, Change Management, Service Level Agreements
  • Strong domain experience in data required; such as developing or maintaining data pipelines, ETL scripts, performing database administration, or supporting other automated data management functions
  • Experience with performance testing and tuning or production support, preferably over data pipelines
  • Experience or a working knowledge of integration pattern design including API endpoint design, file transfer, and message queuing and caching
  • Experience or a working knowledge of microservice design principles
  • Knowledge of data consistency, immutability, and idempotent design patterns
  • Experience or a working knowledge of data modeling in relational and NoSQL data stores
  • Familiarity with data science development processes and platforms
  • Experience designing and implementing solutions that support large data volumes and streaming data preferred
  • Competent coding proof-of-concept solutions in Python preferred
  • Good command of written and spoken English is a plus