Posted:2 months ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Responsibilities

Work closely with product managers to understand customer needs and translatethose into technical requirements.
  • Build and maintain scalable data management and serving infrastructure on cloud,
managing terabytes of data and integrating cost.
  • Design a comprehensive target data architecture vision working closely with
product, design and development and NatCo teams to plan transition towards the
target vision
  • Responsible for implementation of architecture concepts in product development and
services
  • Consult and engage with engineering teams to solve problems at their root cause
  • Create deliverables that provide exceptional clarity and connections to business
objectives
  • Assess emerging technologies and perform proof of concepts
  • Collaborate with product teams, design teams, NatCOs, enterprise architects and
  • provide optimized solutions that provide business outcomes
  • Provide strategic direction and technical oversight pertaining to the implementation of
new tools, technologies and solutions

Data Specialization

  • Comprehensive and expert knowledge with more than 5 years of Data Management
and Data-Architectures (DWH, Spark, Lakehouse)
  • Deep understanding of concepts and principles relating to both Batch and Streaming
data, as well as API/Microservices architectures, Data warehouses & Mesh
Architectures.
  • Strong expertise in Big Data Applications, Architecture best practices, and experience
with the pitfalls of legacy Data Warehouses and Big Data platforms.
  • Al exposure and an excellent understanding of the decision engine concepts and how
to best implement MLOps within an enterprise.
  • Rich and comprehensive experience in understanding the impact of emerging trends
on the organization in data tools, analysis techniques, and data usage.
  • Experience in software engineering and programming languages (Java, Scala).
  • Proven track record of working with globally federated IT teams, and understands the
  • challenges involved, but can still bring teams and people together to deliver a shared
  • outcome.
  • Data Modelling experience (e.g., Information framework SID, Data Vault 2.0)

Security and Regulatory Regiour

  • Experienced in implementing solutions that protect sensitive and regulated Customer
data and can define technically secure and regulatory sound solutions.
  • Experienced in dealing with Security Architecture concepts like identity and access
management, network isolation, transport protection, cloud security specifics,
encryption & key management, and robust knowledge of data privacy treatmenttechniques.

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