Data Architect
Experience Level : 12+ Years
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 loadsCreate reusable ETL patterns and skeleton frameworks across product linesArchitect Delta Lake and Redshift integration patterns for hybrid data storageDesign data quality frameworks with automated validation and monitoringTechnical Strategy
Define data modelling standards for dimensional and transactional data structuresArchitect region-specific deployment patterns (EMEA, Americas)Design secret management and connection pooling strategiesGovernance & Quality
Establish data lineage and audit trail architecturesDesign client data segregation and security modelsImplement comprehensive data quality dashboards and monitoringCreate disaster recovery and data retention strategiesRequired Qualifications
Technical Expertise
12+ years in data architecture with enterprise ETL platformsExpert-level experience with Databricks, Apache Spark, and PySparkAdvanced knowledge of AWS services (S3, Redshift, IAM)Proficiency in Delta Lake, data lakehouse architecturesStrong SQL optimization and database design skillsPlatform Experience
Hands-on experience with multi-tenant SaaS data architecturesKnowledge of data quality frameworks and validation enginesExperience with notebook-based orchestration and workflow management