
Data Architect
3 days ago
Location: Hyderabad
Employment Type: Full-time
Position Overview
We are seeking a seasoned Data Architect to lead the design and evolution of our next-generation ETL platform supporting multiple products. You'll architect scalable data solutions processing millions of records across multi-tenant environments while ensuring data quality and governance.
Key Responsibilities
Platform Architecture & Design
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
Data Engineering Leadership
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
Technical Strategy
Define data modelling standards for dimensional and transactional data structures
Architect region-specific deployment patterns (EMEA, Americas)
Design secret management and connection pooling strategies
Governance & Quality
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
Required Qualifications
Technical Expertise
~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
Platform Experience
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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