Cloud Solution Architect

Date:  Feb 10, 2024
Location: 

Bangalore, KA, IN, 560100

Req ID:  21480

Summary

We’re looking for a Solution Architect to join our product development team to drive a cloud based data platform architecture that will power BI and advanced analytics at Gainwell Technologies. You will have a direct impact on the design, architecture, and implementation of BI and data science use cases. 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

 

  • Provide thought leadership and 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 the 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 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
     

What we're looking for

 

  • 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
  • Strong SQL skills to create/maintain DB objects, query/load required data using data governance (e.g. business glossary, data dictionary, data catalog, data quality, master data management, etc.) and visualization tools to bring data literacy to the organization.
  • 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, third-normal-form structures, ETL/ELT, change data capture and slowly changing dimensions
  • Experience with healthcare data a big plus
  • Experience with Machine Learning & MLOPs is a big plus

What you should expect in this role

 

  • Fast-paced,challenging and rewarding work environment.
  • Hybrid Office environment.
  • Will require late evening work to overlap US work hours.