Senior Enterprise Data Architect Position

2 days ago

Hyderabad, Telangana, India beBeeEnterpriseData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Lead Enterprise Data Architect

We are seeking a seasoned data architect to spearhead the design and evolution of our next-generation ETL platform supporting multiple products. The ideal candidate will have 12+ years of experience in data architecture with enterprise ETL platforms.

The successful candidate will be responsible for designing and optimizing Databricks-based ETL architectures for enterprise-scale data processing, architecting data warehouse solutions for multiple products, and designing metadata-driven ETL frameworks with configurable processing pipelines.

  • Key Responsibilities:
  • Design and optimize Databricks-based ETL architectures for enterprise-scale data processing.
  • Architect data warehouse solutions for multiple products.
  • Design metadata-driven ETL frameworks with configurable processing pipelines.
  • Implement MPP architectures for high-volume data loads.
  • Create reusable ETL patterns and skeleton frameworks across product lines.
  • Architect Delta Lake and Redshift integration patterns for hybrid data storage.
  • Design data quality frameworks with automated validation and monitoring.
  • Define data modeling standards for dimensional and transactional data structures.
  • Architect region-specific deployment patterns (EMEA, Americas).
  • Design secret management and connection pooling strategies.
  • Establish data lineage and audit trail architectures.
  • Design client data segregation and security models.
  • Implement comprehensive data quality dashboards and monitoring.
  • Create disaster recovery and data retention strategies.

Technical Requirements:

  • 12+ years in data architecture with enterprise ETL platforms.
  • Expert-level experience with Databricks, Apache Spark, and PySpark.
  • Advanced knowledge of AWS services (S3, Redshift, IAM).
  • Proficiency in Delta Lake, data lakehouse architectures.
  • Strong SQL optimization and database design skills.

Experience Requirements:

  • Hands-on experience with multi-tenant SaaS data architectures.
  • Knowledge of data quality frameworks and validation engines.
  • Experience with notebook-based orchestration and workflow management.

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