Senior Data Systems Architect

2 days ago

Bengaluru, Karnataka, India beBeeDataEngineer Full time US$ 1,80,000 - US$ 2,20,000
Job Description

This role involves overseeing the design and implementation of large-scale data systems. As a Senior Data Engineer, you will be responsible for designing databases, developing ETL pipelines, and ensuring the performance and scalability of these systems.


Key Responsibilities:


  • Design star/snowflake schemas and balance normalization vs. performance trade-offs
  • Collaborate with analytics and product teams to translate requirements into data models
  • Implement backup, restore, and cross-region replication strategies
  • Manage raw data storage over S3 and apply lifecycle policies
  • Optimize sql / no-sql databases
  • Maintain petabyte-scale Elasticsearch clusters
  • Design index templates, shard/replica allocation, and rollover policies
  • Tune analyzers, mappings, and relevance scoring for low-latency search
  • Monitor cluster health and perform rolling upgrades with zero downtime
  • Automate database maintenance tasks (vacuum, analyze) and monitor slow queries
  • Architect, build, and maintain batch and streaming ETL pipelines using EMR/Spark, Glue, Lambda, and Delta Lake
  • Lead large-scale data migrations (S3/HDFS ingestion, Redshift migrations, cross-cluster reorgs) with minimal downtime
  • Ensure idempotency, data quality, and rollback strategies in all migration workflows
  • Manage data lakes on S3 and HDFS; implement Delta Lake for ACID transactions and schema evolution
  • Oversee EMR/Spark pipelines, ensuring reliability and performance at scale
  • Leverage ECS/Fargate for containerized data workloads and ad-hoc processing
  • Manage Glue Data Catalog and Lake Formation permissions
  • Establish data lineage, schema version control, and audit processes
  • Manage data lifecycle and data governance
  • Evaluate and pilot emerging large-scale storage technologies (Apache Iceberg, Hudi,Redshift RA3 & AQUA)
  • Prototype next-generation data architectures (data mesh, lakehouse patterns)
  • Develop PoCs for modern query engines (Redshift Spectrum, Athena fanning out to 1. Iceberg tables)

Required Skills and Qualifications

The ideal candidate will have experience in designing and implementing large-scale data systems, as well as proficiency in programming languages such as Python, Java, or Scala.


Benefits

This role offers opportunities for growth and development, as well as a competitive salary and benefits package.


Others

We are an equal opportunities employer and welcome applications from diverse candidates.

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