Senior Data Solutions Architect

14 hours ago

Allahabad, Uttar Pradesh, India beBeeDataArchitect Full time ₹ 35,00,000 - ₹ 40,00,000
Job Description

We are seeking an experienced Technical Architect to lead our data engagements on GCP Cloud.

  • The ideal candidate will have more than 8 years of experience in technical, solutioning, and analytical roles, as well as 5+ years of experience in building and managing data lakes, data warehouses, data integration, data migration, and business intelligence/artificial intelligence solutions on cloud platforms like GCP/AWS/Azure.
Key Responsibilities:
  • Lead multiple data engagements on GCP Cloud for data lakes, data engineering, data migration, data warehouse, and business intelligence.
  • Interface with multiple stakeholders within IT and business to understand the data requirements.
  • Take complete responsibility for the successful delivery of all allocated projects on the parameters of schedule, quality, and customer satisfaction.
  • Responsible for design and development of distributed, high volume multi-thread batch, real-time, and event processing systems.
  • Implement processes and systems to validate data, monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
Requirements:
  • More than 8 years of experience in technical, solutioning, and analytical roles.
  • 5+ years of experience in building and managing data lakes, data warehouses, data integration, data migration, and business intelligence/artificial intelligence solutions on cloud platforms like GCP/AWS/Azure.
  • Ability to understand business requirements, translate them into functional and non-functional areas, define non-functional boundaries in terms of availability, scalability, performance, security, resilience, etc.
  • Experience in architecting, designing, and implementing end-to-end data pipelines and data integration solutions for varied structured and unstructured data sources and targets.
  • Experience of having worked in distributed computing and enterprise environments like Hadoop, GCP/AWS/Azure Cloud.
  • Well-versed with various data integration and ETL technologies on cloud like Spark, PySpark/Scala, Dataflow, DataProc, EMR, etc. on various cloud platforms.
Preferred Skills:
  • Strong communication and articulation skills.
  • Good leadership skills.
  • Should be a good team player.
  • Good analytical and problem-solving skills.
Work Environment:
  • This is a hybrid role, which involves working from home or office as per company policies.
Benefits:
  • A competitive compensation package.
  • Ongoing training and professional development opportunities.
  • A collaborative and dynamic work environment.
Others:
  • We offer flexible working arrangements.
  • We promote a healthy work-life balance.

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