Executive Data Systems Architect

1 week ago

Thiruvananthapuram, Kerala, India beBeeDataPlatform Full time ₹ 1,80,00,000 - ₹ 2,52,00,000
Senior Data Platform Manager

We are seeking a highly skilled Senior Data Platform Manager to provide strategic leadership for our data platform in the healthcare domain.

The ideal candidate will have expertise in cloud-based technologies, including AWS, Python, and Terraform, as well as AI and machine learning.

The manager must oversee the design and maintenance of data systems, manage and mentor a team, and ensure alignment with business objectives.

Data Engineering Lifecycle:

  • Lead research and proof-of-concept development for data solutions
  • Design and implement modular, flexible, secure, and reliable data systems that scale with business needs
  • Instrumentation and Monitoring: Integrate pipeline observability to detect and resolve issues proactively
  • Troubleshooting and Optimization: Develop tools and processes to debug, optimize, and maintain production systems
  • Tech Debt Reduction: Identify and address legacy inefficiencies to improve performance and maintainability
  • Debugging and Troubleshooting: Quickly diagnose and resolve unknown issues across complex systems
  • Documentation and Governance: Maintain clear documentation of data models, transformations, and pipelines to ensure security and governance compliance
  • Cloud Expertise: Leverage advanced skills in AWS and EKS to build, deploy, and scale cloud-native data platforms
  • Team Leadership: Lead and mentor engineering teams to ensure operational efficiency and innovation
Required Skills and Qualifications

Strong technical skills in data architecture, ETL, cloud platforms, and big data technologies

Excellent leadership, communication, problem-solving, business acumen, and project management skills

Proficiency in languages like Python, SQL, and Scala for data processing and pipeline development

Deep understanding of SQL, NoSQL, and relational databases

Expertise in cloud environments such as AWS, Azure, or GCP

Experience with tools like Spark, Kafka, Hadoop, and Snowflake

Familiarity with DevOps practices for efficient deployment and management

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