Data Platform Architect

1 day ago


Chennai, Tamil Nadu, India Gainwell Technologies Full time

Summary

We are seeking a highly skilled Data Platform Architect to lead our product development team in designing and implementing a cloud-based data platform architecture that will power BI and advanced analytics at Gainwell Technologies. The ideal candidate will have industry-leading programming skills and established knowledge of implementing, designing, deploying, and maintaining big data analytics platforms in a cloud environment.

Your role in our mission

Key Responsibilities

  • Provide technical direction to the data engineering team in building analytic data products.
  • Understand and translate business requirements to data strategies that align with overall technology vision.
  • Design, develop, and enforce standards for data storage, processing, and governance across all environments.
  • Work closely with enterprise and application architects to align the data engineering team to the overall company SDLC standards, practices, and data access patterns.
  • Develop, document, and maintain an overall view of data platform architecture, data acquisition, data quality, and data retention.
  • Provide formal and informal training for data engineers, platform engineers, and ETL developers.
  • Maintain knowledge of emerging technologies and architectures.
  • Document and publish technical principles and standards, and mentor the data engineering team to incorporate them into their daily practices.
  • Champion and present the technical vision to the executive team and business stakeholders.

Requirements

  • Bachelor's degree with a preferred area of study in information technology, computer science, computer engineering, or related fields.
  • 8+ years of overall experience in big data, database, and enterprise data architecture and delivery.
  • 8+ years of programming proficiency in a subset of Python, Java, and Scala.
  • 5+ years of hands-on experience building solutions on distributed processing frameworks such as Spark, Hadoop, or Databricks.
  • 5+ years of experience architecting, developing, releasing, and maintaining enterprise data lake platforms.
  • 3+ years of experience implementing cloud-based systems. AWS and/or Databricks preferred.

What to Expect

  • A fast-paced, challenging, and rewarding work environment.
  • A hybrid office environment.
  • Will require late evening work to overlap US work hours.


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