Company Description
Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.
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 ManagementDevelop 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 IntegrationDesign 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 QualificationsEducation: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).Expertise in database systems, including both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra).Hands-on experience with ETL tools like Talend, Informatica, or Apache NiFi.Familiarity with data visualization tools (e.g., Tableau, Power BI) and analytics platforms.Certifications:Certifications such as AWS Certified Data Analytics, Azure Data Engineer Associate, GCP Professional Data Engineer, or Hadoop certifications are highly desirable. Key AttributesStrong analytical and problem-solvi
Qualifications
BE,BTech, MTech
Additional Information
10 - 14
