Chief Data Platform Engineer

2 weeks ago

Morādābād, Uttar Pradesh, India beBeeDataArchitect Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Opportunity:

Come work with us to deliver cutting-edge data solutions.

We are seeking a skilled Data Architect to develop and implement robust enterprise-wide data platforms, leveraging expertise in data governance, security, and scalability.

  • Design and implement secure, high-performance data architectures that meet business requirements and compliance standards.
  • Provide technical leadership to the engineering organization on data platform design, rollout, and evolution.
  • Liaise with product teams, professional services, and sales engineers on solution and trade-off reviews, representing engineering in such conversations.
  • Drive technology explorations and roadmaps.
  • Serve as a technical lead on our most demanding cross-functional departments.

Key Responsibilities:

  • Develop and maintain data pipelines and architectures that support real-time data processing and analytics.
  • Collaborate with cross-functional teams to identify and prioritize business needs and ensure alignment with organizational goals.
  • Stay up-to-date with emerging technologies and trends in data architecture and engineering.
  • Ensure the quality of architecture and design of systems.
  • Functionally decompose complex problems into simple, straightforward solutions.

Requirements:

  • Bachelor's degree in computer science or equivalent.
  • 8+ years of total experience.
  • 4+ years of relevant experience in designing and architecting Big Data solutions using Spark.
  • 3+ years of experience working with engineering resources for innovation.
  • 4+ years of experience understanding Big Data events flow pipeline.
  • 3+ years of experience in performance testing for large infrastructure.
  • 3+ years of experience in various search solutions (Solr/Elastic).
  • 3+ years of experience in Kafka.
  • In-depth experience in Data lakes and related ecosystems.
  • In-depth experience in messaging queues.
  • In-depth experience in giving requirements for scalable architecture in Big Data and Micro-services environments.
  • In-depth experience in understanding caching components or services.
  • Knowledge in Presto technology.
  • Knowledge in Airflow.
  • Hands-on experience in scripting and automation.
  • Strong experience in performance benchmarking testing for Big Data technologies.
  • Strong troubleshooting skills.
  • Experience leading development life cycle process and best practices.
  • Experience in Big Data services administration.
  • Experience with Agile Management (SCRUM, RUP, XP), OO Modeling, working on internet, UNIX, Middleware, and database-related projects.

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