Chief Data Solutions Strategist

4 days ago

Remote, India beBeeData Full time ₹ 1,50,000 - ₹ 28,00,000
Cloud Data Architect

We are seeking a highly skilled Cloud Data Architect to lead the design, development, and implementation of our cloud-based data platform.

The ideal candidate will have industry-leading expertise in designing, deploying, and maintaining big data analytics platforms in the cloud. You will work closely with various stakeholders to drive data-driven decision making and provide thought leadership on data engineering best practices.

Your role in our mission

  • Provide technical direction to the data engineering team in building analytic data products
  • Translate business requirements into data strategies that align with overall technology vision
  • Develop and enforce standards for data storage, processing, and governance across all environments
  • Work closely with enterprise architects to align the data engineering team to the overall company software development lifecycle (SDLC) standards, practices, and data access patterns
  • Maintain knowledge of emerging technologies and architectures

What we're looking for

Basic Qualifications

  • Bachelor's degree with a preferred area of study in information technology, computer science, or related fields
  • 8+ years of experience in big data, database, and enterprise data architecture and delivery
  • 8+ years of programming proficiency in Python, Java, and Scala
  • 5+ years of hands-on experience building solutions on distributed processing frameworks like Spark, Hadoop, or Databricks
  • Strong SQL skills to create/maintain DB objects, query/load required data using data governance tools
  • Practical experience on workload management, monitoring, and performance tuning Apache Spark jobs
  • Broad knowledge of data technologies, tools, and disciplines including data modeling, dimensional models, ETL/ELT, change data capture, and slowly changing dimensions

Additional Requirements

  • Experience with healthcare data is a plus
  • Experience with Machine Learning & MLOPs is a plus

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