Senior Data Platform Architect

2 days ago

Coimbatore, Tamil Nadu, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Data Architect Lead

We are seeking a seasoned professional to lead our data architecture initiatives.

The successful candidate will be responsible for designing and implementing scalable, distributed systems to process large volumes of data.

This is a fantastic opportunity to work on challenging projects that drive business growth and improve customer experiences.

Responsibilities:
  • Lead the development of data platforms and pipelines.
  • Provide technical guidance to engineering teams on data architecture design and implementation.
  • Liaise with product teams, professional services, and sales engineers to ensure alignment on solution designs and trade-off reviews.
  • Drive technology explorations and roadmaps to stay ahead of industry trends.
  • Ensure the quality of architecture and design of systems.
  • Fully understand system interdependencies and limitations.
  • Possess expert knowledge in performance, scalability, enterprise system architecture, and engineering best practices.
  • Leverage knowledge of internal and industry prior art in design decisions.
  • Effectively research and benchmark cloud technology against other competing systems in the industry.
  • Able to document the details so it will be easy for developers to understand the requirements.
  • Assist in career development of others, actively mentoring individuals and the community on advanced technical issues.
Qualifications:
  • Bachelor's degree in computer science or equivalent.
  • 8+ years of total experience.
  • 4+ years of relevant experience in design and architecture Big Data solutions using Spark.
  • 3+ years experience in working with engineering resources for innovation.
  • 4+ years experience in understanding Big Data events flow pipeline.
  • 3+ years experience in performance testing for large infrastructure.
  • In-depth experience in understanding various search solutions solr/elastic.
  • In-depth experience in Kafka.
  • In-depth experience in Data lakes and related ecosystems.
  • In-depth experience in giving requirements to build a scalable architecture for Big data and Micro-services environments.
  • Knowledge in Presto technology.
  • Knowledge in Airflow.
  • Hands-on experience in scripting and automation.
  • In-depth understanding of RDBMS/NoSQL, Oracle , Cassandra , Kafka , Redis, Hadoop, lambda architecture, kappa , kappa ++ architectures with flink data streaming and rule engines.
  • Experience in working with ML models engineering and related deployment.
  • Design and implement secure big data clusters to meet many compliances and regulatory requirements.
  • Strong experience in doing 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 would be added value.
  • Experience with Agile Management (SCRUM, RUP, XP), OO Modeling, working on internet, UNIX, Middleware, and database related projects.
  • Project management experience

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