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Job Description

  • Position OverviewWe are seeking an experienced Data Architect to design, implement, and optimize cutting-edge data solutions with a focus on Big Data technologies
  • This role will involve creating robust and scalable data architectures to support analytics, AI, and business intelligence initiatives
  • The ideal candidate will have deep expertise in data modeling, integration, governance, and advanced tools and frameworks used in Big Data environments
  • Key ResponsibilitiesData Architecture DesignDefine and design Big Data architecture solutions, including data lakes, data warehouses, and real-time processing systems
  • Architect and implement scalable, secure, and high-performance data pipelines and data integration solutions
  • Ensure alignment with industry best practices and organizational goals for data architecture
  • Big Data Ecosystem Management Develop and manage workflows using Big Data tools like Hadoop, Spark, Kafka, Hive, and Flink
  • Leverage cloud-based Big Data services (AWS EMR, Azure Synapse, GCP BigQuery, or similar) to optimize performance and scalability
  • Oversee the implementation of streaming data platforms to support real-time analytics
  • Data Modeling and Integration Design and maintain data models (conceptual, logical, and physical) that support structured and unstructured data
  • Build robust ETL/ELT processes to ingest, process, and integrate large volumes of diverse data sources
  • Implement APIs and frameworks for seamless data sharing and consumption
  • Data Governance and SecurityEstablish frameworks to ensure data quality, lineage, and governance across the data lifecycle
  • Implement security measures for data at rest and in motion using encryption and access controls
  • Ensure compliance with global data regulations such as GDPR, CCPA, or similar
  • Collaboration and Stakeholder EngagementPartner with data engineers, data scientists, business analysts, and IT teams to align architecture with business needs
  • Translate complex technical concepts into actionable insights for stakeholders
  • Performance Optimization and MonitoringMonitor and optimize performance of Big Data systems, ensuring low latency and high reliability
  • Troubleshoot and resolve performance bottlenecks in distributed data environments
  • Emerging Technology and InnovationEvaluate and implement emerging technologies, such as Graph Databases, NoSQL Systems, and AI-driven analytics platforms
  • Continuously explore innovations in the Big Data ecosystem to drive efficiency and competitive advantage
  • Success CriteriaSuccessful implementation of robust, secure, and scalable Big Data solutions
  • Improved performance and cost-efficiency of data architectures
  • Positive stakeholder feedback and high business alignment of solutions
  • Continuous adherence to governance and security standards
  • Preferred Qualifications Education:Bachelor s or Master s degree in Computer Science, Data Engineering, Information Systems, or a related field
  • Experience:10+ years of experience in data architecture, with at least 3+ years focusing on Big Data technologies
  • 5+ years as Data Architect with proficiency working in environments supporting solutions designProven track record of delivering end-to-end Big Data solutions in enterprise environments
  • Technical Expertise:Strong understanding of Big Data frameworks like Hadoop, Spark, Kafka, Hive, Flink, and Presto
  • Proficiency in cloud-based Big Data platforms (AWS EMR, Azure Synapse, GCP BigQuery, or Databricks)

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Robert Bosch Engineering and Business Solutions Private Limited
Robert Bosch Engineering and Business Solutions Private Limited

Engineering and Technology Services

Chennai

3000+ Employees

470 Jobs

    Key People

  • Sanjay Sharma

    Managing Director
  • Ravi Pillai

    Head of Engineering Services

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