Project Role Description : Architects the data platform blueprint and implements the design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.
Must have skills : Databricks Unified Data Analytics Platform
Good to have skills : NA
Minimum 12 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
Delivery and solution leadership role.
This role balances hands on architectural guidance with execution ownership, client leadership, and people development.
Responsibilities:
Proven experience as a Data Architect and Data Engineer leading enterprise-scale Lakehouse initiatives.
Expert-level understanding of contemporary Data & Analytics Architecture patterns including Data Mesh, Data Products, and Lakehouse Architecture.
Excellent programming and debugging skills in Python.
Strong experience with PySpark for building scalable and modular ETL/ELT pipelines.
Design and build complex pipelines using Delta Lake, Auto Loader, Delta Live Tables (DLT), and deployment using Asset Bundles.
Architect data ingestion and transformation using DLT Expectations, modular Databricks Functions, and reusable pipeline components.
Must have hands-on expertise in at least one major cloud platform: AWS, GCP, or Azure.
Lead implementation of Unity Catalog: create catalogs, schemas, role-based access policies, lineage visibility, and data classification tagging (PII, PHI, etc.).
Guide organization-wide governance via Unity Catalog setup: workspace linkage, SSO, audit logging, external locations, and Volume access.
Enable cross-platform data access using Lakehouse Federation, querying live from externally hosted databases.
Leverage and integrate Databricks Marketplace to consume high-quality third-party data and publish internal data assets securely.
Experience with cloud-b
📌 Data Platform Architect (Bengaluru)
🏢 Accenture in India
📍 Bengaluru
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