Data Platform Architect Lead
19 hours ago
We are seeking a highly skilled Data Platform Architect Lead to join our team at CodeX Tech-IT LLC in Bangalore. This is an exciting opportunity for someone who is passionate about cutting-edge data technologies, cloud-native environments, and driving business impact through data infrastructure.
Key Responsibilities:- Data Platform Design and Development
- Architect, build, and maintain a scalable and reliable data platform that supports batch processing, real-time data streams, and advanced analytics.
- Ensure the platform can handle the growing needs of the business in a cost-efficient and performance-optimized manner.
- Data Pipeline Management
- Develop and manage ETL/ELT pipelines to support data ingestion, transformation, and distribution across the organization.
- Ensure that these pipelines are scalable, resilient, and optimized for performance.
- Real-Time Data Processing
- Design and implement real-time data processing solutions using tools like Apache Kafka and Apache Flink, ensuring low-latency, high-throughput data streams for business-critical applications.
- Data Storage Optimization
- Lead the design and optimization of data lakes and data warehouses.
- Ensure efficient data storage, retrieval, and cost management in cloud environments.
- System Reliability and Monitoring
- Implement monitoring solutions and data quality frameworks to ensure the accuracy, reliability, and security of data.
- Proactively identify and resolve performance bottlenecks and data pipeline issues.
- Collaboration and Cross-Team Support
- Collaborate with data scientists, analysts, and product teams to understand business requirements and deliver scalable data solutions.
- Ensure that the platform supports both current and future data use cases.
- Data Security and Compliance
- Implement and champion data security and compliance measures to ensure data integrity and privacy.
- Technical Leadership
- Provide technical leadership and mentorship to junior engineers.
- Promote best practices in system design, coding, and deployment processes across the team.
- Automation and Infrastructure as Code (IaC)
- Automate data infrastructure management and deployments using tools like Terraform and Ansible, ensuring consistency, repeatability, and reduced operational overhead.
- 7+ years of hands-on experience in data platform engineering, with expertise in architecting and maintaining scalable data platforms.
- Proven experience designing and implementing both batch and real-time data pipelines in cloud environments (AWS preferred).
- Deep expertise in distributed data processing frameworks (e.g., Apache Spark, Presto) and real-time streaming technologies (Kafka, Flink).
- Experience with modern data lake architectures and table formats like Hudi, Iceberg, or Delta Lake.
- Strong hands-on programming skills in Python and/or Java, with the ability to build robust, scalable, and maintainable code for complex data systems.
- Hands-on SQL and/or NoSQL experience.
- Hands-on experience with Infrastructure as Code (Terraform or Ansible) for managing cloud infrastructure.
- Experience in performance tuning and optimization of large-scale data systems.
- Proficient in scoping and prioritizing tasks, focusing on delivering incremental improvements, while remaining flexible and responsive to evolving project needs.
- Excellent communication and leadership skills, with a track record of mentoring junior engineers.
- Bachelor's/Master's degree in Computer Science, Engineering, or a related field.
- Estimated salary: ₹ 25,00,000 - ₹ 40,00,000 per annum.
- Hybrid work policy with 2-3 days in-office.
The ideal candidate will have a strong passion for data engineering and a drive to stay up-to-date with the latest trends and technologies. We offer a dynamic and collaborative work environment, opportunities for professional growth, and a competitive compensation package.
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