Solutions Architect (Managed Services)

New
J
JobgetherData & Cloud
Based in IndiaFull-TimeSenior
Salary not disclosed
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Job Details

Required Skills
AWSSQLCloud ComputingKafkaSnowflakeAirflowAzureSpark

Requirements

  • Extensive experience supporting enterprise data platforms in production using Snowflake, AWS, Azure, or Databricks.
  • Significant architectural guidance and operational support experience for large user bases.
  • Production experience with cloud and distributed storage technologies like Amazon S3, ADLS, or NoSQL platforms.
  • Hands-on experience with data integration technologies such as Spark, Kafka, or Azure Data Factory.
  • Experience with workflow management and orchestration tools such as Airflow.
  • Strong SQL expertise with the ability to write, debug, and optimize complex queries.
  • Deep working knowledge of cloud-native data technologies within AWS or Azure.
  • Demonstrated ability to create and improve technical processes and operational procedures.
  • Strong troubleshooting, diagnostic, and performance-tuning capabilities.
  • Proven experience leading and mentoring engineers.
  • Excellent client-facing written and verbal communication skills.
  • Strong presentation skills with the ability to communicate to executive audiences.

Responsibilities

  • Design, propose, and provision cloud-native data solutions across AWS and Azure.
  • Lead technical teams responsible for operating and managing modern data platforms spanning streaming, data lakes, and data warehouses.
  • Own the technical relationship and delivery across multiple customer accounts.
  • Assess complex customer environments and translate improvement opportunities into actionable Epics, Stories, and Tasks.
  • Delegate work to engineers, provide coaching and mentorship, and ensure successful delivery.
  • Provide architectural thought leadership and recommend technologies to improve performance, security, and scalability.
  • Troubleshoot complex production issues and apply performance tuning across distributed systems.
  • Identify opportunities to automate repetitive operational activities.
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