Project Role : Data Architect
Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration.
Must have skills : Databricks Unified Data Analytics Platform
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Data Architect, you will define the data requirements and structure for the application. Your typical day will involve modeling and designing the application data structure, storage, and integration, ensuring that the data architecture aligns with the overall business objectives and technical specifications. You will collaborate with various teams to ensure that the data architecture is robust, scalable, and efficient, while also addressing any challenges that arise during the development process. Your role will be pivotal in shaping the data landscape of the organization, enabling data-driven decision-making and fostering innovation through effective data management practices.





Responsibilities:
Develop high-quality, scalable ETL/ELT pipelines using Databricks technologies including Delta Lake, Auto Loader, and DLT.
Excellent programming and debugging skills in Python.
Solid hands-on experience with Py Spark to build efficient data transformation and validation logic.
Must be proficient in at least one cloud platform: AWS, GCP, or Azure.
Create modular DBX functions for transformation, PII masking, and validation logic — reusable across DLT and notebook pipelines.
Implement ingestion patterns using Auto Loader with checkpointing and schema evolution for structured and semi-structured data.
Build secure and observable DLT pipelines with DLT Expectations, supporting Bronze/Silver/Gold medallion layering.
Configure Unity Catalog: set up catalogs, schemas, user/group access, enable audit logging, and define masking for PII fields.
Enable secure data access across domains and

📌 Data Architect (Indore)
🏢 Accenture
📍 Indore