Data Architect (Strategic) @ Robert Bosch

: Data Architect

Location : Bangalore / Hyderabad / Pune / Coimbatore

Position Overview

We 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 Responsibilities

1. Data Architecture Design
   • Define 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.
2. 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.
3. 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.
4. Data Governance and Security
   • Establish 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.
5. Gen AI exposure / experience as mandatory .
6. Collaboration and Stakeholder Engagement
   • Partner 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.
7. Performance Optimization and Monitoring
   • Monitor and optimize performance of Big Data systems, ensuring low latency and high reliability.
   • Troubleshoot and resolve performance bottlenecks in distributed data environments.
8. Emerging Technology and Innovation
   • Evaluate 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 Criteria

• Explore different tech stacks and architecture design
• Document supporting evidence with KPIs for decision on solution design and document product guideline and protocols to seamlessly utilize the framework
• Prior experience with ETL & Big Data to set up scalable pipeline to process data in real time and batch
• Develop configurable solutions to support cross functional requirements and support multiple platforms.
• Experience in managing cross-functional team, requirements gathering , day-to-day relationships with clients, and stakeholders supporting clients to achieve better outcomes

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 design
  • Proven 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 Attributes

• Strong analytical and problem-solving skills with a passion for data-driven innovation.
• Excellent communication and collaboration abilities to engage both technical and non-technical stakeholders.
• Strategic mindset with a focus on scalability, performance, and alignment with business objectives.
• Ability to thrive in fast-paced environments and handle multiple priorities effectively.