Senior Big Data Architect

18 hours ago


Ahmedabad, Gujarat, India beBeeDataStrategist Full time ₹ 2,50,00,000 - ₹ 3,50,00,000

The most impactful opportunity awaits

Job Description

We are seeking an exceptional Big Data Strategist to spearhead the development of our Enterprise TruRisk Platform. This pioneering project aims to empower customers with unparalleled Cyber Risk Management capabilities.

This role offers a chance to work closely with a talented team of engineers and architects, collaborating on cutting-edge solutions that drive innovation and excellence in the field of big data.

As a key member of our organization, you will be responsible for designing, developing, and supporting a highly scalable and distributed SaaS-based Security Risk Prioritization product.

With access to vast amounts of transactional data, you will have the unique opportunity to leverage open-source technologies and contribute to challenging initiatives that shape the future of our platform.

Main Responsibilities:

  • Pioneer data platform and pipeline strategies along with Risk Evaluation.
  • Provide technical leadership on data platform design, roll out, and evolution.
  • Serve as a liaison to product teams, professional services, and sales engineers on solution reviews and represent engineering in such conversations.
  • Drive technology explorations and roadmaps.
  • Lead complex system architecture and design efforts to ensure quality and performance.
  • Demonstrate expertise in performance, scalability, enterprise system architecture, and engineering best practices.
  • Conduct thorough research and benchmarking of cloud technology against industry standards.
  • Effectively communicate requirements to developers and assist in their career growth.
Required Skills and Qualifications

To excel in this role, you should possess the following skills and qualifications:

  • Bachelor's degree in computer science or equivalent.
  • 8+ years of total experience, with at least 4+ years in design and architecture of Big Data solutions using Spark.
  • 3+ years of experience working with engineering resources for innovation.
  • In-depth understanding of Big Data events flow pipelines.
  • Experience in performance testing for large infrastructure.
  • Familiarity with search solutions like Solr/Elastic.
  • Hands-on experience with Kafka and related ecosystems.
  • Knowledge of Presto technology and Airflow.
  • Strong scripting and automation skills.
  • Expertise in RDBMS/NoSQL, Oracle, Cassandra, Kafka, Redis, Hadoop, lambda architectures, and rule engines.
  • Experience in working with ML models engineering and deployment.
  • Design and implementation of secure Big Data clusters to meet regulatory requirements.
  • Leadership experience in delivering large-scale systems focused on managing infrastructure layers.
  • Strong troubleshooting skills.
  • Experience leading development life cycles and Agile methodologies.
  • Project management experience.


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