Experience Details:

- 14+ years of overall experience in Big Data, Snowflake, Data Warehousing, and Data Architecture.
- Minimum 11+ years of experience in architecture and solutioning across Snowflake, AWS, Big Data, and Data Warehousing.
- Strong experience in architecting and implementing large-scale data solutions on cloud platforms, with AWS preferred.
- Proven experience in leading end-to-end architecture, solution design, POCs, technical decision-making, and implementation.

Technical Skills & Expertise Snowflake & Data Architecture

- Strong expertise in Snowflake architecture, data warehousing, data modelling, performance optimization, and cost optimization.
- Hands-on experience with Snowflake features and capabilities, including Snowflake Cortex and Generative AI.
- Ability to evaluate and leverage newly introduced Snowflake features to deliver modern and efficient solutions.
- Strong understanding of secure data sharing, Snowflake Data Clean Rooms, data security, and secure coding standards.
- Experience in designing and implementing frameworks to reduce estimation, development effort, and cost for repetitive data ingestion/extraction activities.
- Ability to identify innovative approaches and recommend solutions aligned with customer standards and business requirements.

AWS & Cloud

- Strong hands-on experience with the AWS ecosystem, including:

- Amazon S3

- EC2

- AWS Lambda
- Other relevant AWS data and analytics services
- Strong understanding of cloud implementation, cloud architecture, scalability, availability, security, and cost optimization.
- Experience in designing cloud-based data platforms and solutions.

Big Data & Data Engineering

- Strong experience with Apache Spark and PySpark.




- Experience working with Big Data technologies and ecosystems, including:

- Hadoop

- Hive

- HBase

- Pig

- Kafka

- NiFi

- Airflow
- Good understanding of batch and real-time data ingestion architectures.
- Experience in designing data pipelines for source, refined, and centrally published datasets.
- Experience with parallel processing and large-scale data processing frameworks.

Database & Programming

- Strong knowledge of:

- SQL

- Relational and distributed databases

- Linux/Unix environments

- Java
- Database and data-centre setup concepts
- Experience in designing database objects, data models, clustering, and compute/storage requirements.

Data Governance & Security

- Strong understanding of data governance, data security, privacy, and compliance, including GDPR.
- Experience in implementing security and governance controls across the data ecosystem.
- Understanding of secure coding practices and secure data-sharing mechanisms.

Data Migration & Integration

- Experience in data migration from legacy systems to contemporary cloud/data platforms.
- Experience with data ingestion, extraction, transformation, integration, and publication frameworks.
- Exposure to both batch and real-time data integration.

BI & Testing

- Knowledge of BI/reporting tools and frameworks is an advantage.
- Knowledge of performance and testing tools such as JMeter is desirable.

Architecture & Documentation

- Proficient in preparing and reviewing technical architecture documentation, including:
- HLD High-Level Design
- LLD – Low-Level Design

- UML

- Solution Architecture Documents
- Strong experience in translating business and technical requirements into scalable architecture and solution designs.

📌 Snowflake Data Architect (Bengaluru)
🏢 RARR Technologies
📍 Bengaluru