Senior Data Architect - ETL/Snowflake DB in Bhopal, भारत

About the Role :We are looking for an experienced Senior Data Architect to design and lead scalable, secure, and high-performance data architecture solutions. The ideal candidate should have strong expertise in data modeling, data engineering, cloud data platforms, data governance, and modern data https://jobeax.com/link/YScKzKvc7zRFK3Z7 will work closely with engineering, product, business, and leadership teams to define data strategies and architecture that support analytics, reporting, AI/ML, and business https://jobeax.com/link/wXURIxgrAfa888Pf Responsibilities :- Design and develop scalable enterprise data architectures aligned with business and technology objectives.- Define data architecture strategies, standards, principles, and roadmaps.- Design data models, data warehouses, data lakes, lakehouse architectures, and data pipelines.- Lead architecture decisions across batch and real-time data processing environments.- Evaluate and recommend appropriate cloud data platforms, databases, and data technologies.- Design and optimize ETL/ELT pipelines for large-scale data processing.- Ensure data solutions are scalable, reliable, secure, and cost-effective.- Establish data governance, data quality, metadata management, lineage, and security standards.- Collaborate with Data Engineers, Data Scientists, BI teams, Software Engineers, and business stakeholders.- Review existing data platforms and identify opportunities for modernization and performance improvement.- Provide technical leadership and mentor data engineering teams.- Define best practices for data integration, storage, processing, and consumption.- Ensure compliance with security, privacy, and regulatory requirements.- Stay updated with emerging technologies in Cloud, Big Data, Data Engineering, AI/ML, and Modern Data https://jobeax.com/link/fbrGcQB5Clg1ZlqO Skills & Experience :- 5+ years of experience in Data Engineering / Data Architecture / Data Platforms.- Strong experience in designing enterprise-scale data architectures.- Excellent knowledge of Data Warehousing, Data Lakes, Lakehouse, ETL/ELT, and Data Modeling.- Strong hands-on experience with SQL and relational/non-relational databases.- Experience with cloud platforms such as AWS, Azure, or GCP.- Experience with modern data technologies such as Databricks, Snowflake, Spark, Kafka, or similar platforms.- Strong understanding of batch and real-time data processing.- Experience designing scalable and high-performance data pipelines.- Knowledge of data governance, security, data quality, metadata, and lineage.- Strong understanding of distributed systems and big data technologies.- Experience with architecture documentation and technical design.- Strong analytical, problem-solving, communication, and stakeholder management https://jobeax.com/link/ZitjVqvb84V4AOyQ to Have :- Experience with Databricks / Azure Data Factory / Synapse / Microsoft Fabric / Snowflake.- Experience with Apache Spark, Kafka, Airflow, dbt, or similar technologies.- Exposure to AI/ML data platforms and Generative AI use cases.- Experience with Data Mesh, Data Fabric, or Domain-Driven Data Architecture.- Cloud certifications such as Azure, AWS, or Databricks.- Experience working in Agile/Scrum environments. (ref:hirist.tech)