Data Architect - Databricks in Ahmedabad, भारत

Databricks Architect with AIRole Overview:We are looking for an experienced Databricks Data Architect to lead the design and implementation of enterprise-scale data platforms using Databricks Lakehouse Architecture. The candidate should have strong expertise in modern data engineering, data architecture, dimensional modeling, and scalable cloud data https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities:- Design and implement enterprise-scale data platforms using Databricks Lakehouse Architecture.- Define end-to-end data architecture covering ingestion, transformation, storage, governance, and consumption layers.- Establish architecture standards, coding guidelines, reusable design patterns, and best practices.- Lead technical decisions related to scalability, performance, reliability, and security.- Design and build scalable ETL/ELT pipelines using PySpark on Databricks.- Architect Bronze, Silver, and Gold data transformation frameworks.- Design and manage Delta Lake storage architecture, including optimization and data lifecycle management.- Implement Databricks Workflows/Lakeflow pipelines for orchestration and automation.- Define data quality, validation, reconciliation, and monitoring frameworks.- Oversee CI/CD and DevOps practices for data engineering projects.- Design enterprise data models using dimensional modeling techniques.- Develop Star Schemas, Fact Tables, Dimension Tables, and conformed dimensions.- Define business metrics, KPI layers, semantic models, and curated Gold datasets.- Provide technical leadership and mentorship to data engineers and developers.- Conduct architecture and code reviews and ensure adherence to standards.- Troubleshoot complex technical issues and guide teams in solution design.- Support solution proposals, estimation, technical governance, and architectural roadmap activities.- Drive adoption of modern data engineering and cloud-native best https://jobeax.com/link/6wXuMF1RDT966PMt Skills:- Mandatory: Data Architecture, Databricks Lakehouse Architecture, Databricks Workflows / Lakeflow, Delta Lake, Unity Catalog, Databricks SQL, PySpark and Spark SQL, ETL/ELT design, Dimensional Data Modeling, Star Schema, Fact & Dimension Modeling, Slowly Changing Dimensions (SCD), Metric View, Python, SQL, Git, CI/CD frameworks, Performance tuning, Data quality frameworks, Batch and incremental processing.- Cloud & Integration: Azure Databricks (preferred), ADLS Gen2, Azure Data Factory (ADF), Event-based and batch ingestion, Data governance, metadata management, and security.- Good to Have: Data warehouse modernization, legacy EDW migration, Data Mesh, Medallion Architecture, BI platforms (Power BI, Tableau, Looker).Candidate Profile:- 15+ years of relevant experience in data architecture and enterprise data platforms.- Strong hands-on experience with Databricks and modern data engineering practices.- Proven experience designing scalable and high-performance data platforms.- Strong expertise in data modeling, Lakehouse architecture, and cloud data solutions.- Ability to define target-state architecture and technical roadmaps.- Experience reviewing technical designs and code and guiding development teams.- Strong communication skills with the ability to drive technical discussions with architects and business stakeholders.- Ability to provide architectural governance across multiple workstreams.- Strong leadership and mentoring capabilities. (ref:hirist.tech)