What are the responsibilities and job description for the Associate Data Architect position at Saransh Inc?
Mandatory Areas
Must have skills.
Spark, Azure, Databricks, NoSQL, Databricks, Snowflake
Job Title: Data ArchitectJob Summary:We are seeking an experienced professional to design, implement, and manage scalable data architectures and big data solutions. The ideal candidate will have strong expertise in data modeling, cloud platforms, and data governance to ensure data integrity, security, and compliance.Key Responsibilities:Design and implement scalable data architectures, data models, schema designs, and database optimizations.Work with various database management systems (RDBMS, NoSQL) and data warehousing tools (Databricks, Snowflake, Redshift).Leverage big data frameworks (e.g., Spark) and cloud platforms (e.g., Azure) for distributed computing and data processing.Develop and maintain ETL processes using cloud-based data services and tools.Implement and enforce data governance best practices including data lineage, quality management, and compliance.Ensure data security through strong understanding of encryption, protocols, and regulatory compliance standards.Qualifications & Skills:Proven experience in designing large-scale data systems.Proficiency in big data frameworks, cloud platforms, and ETL tools.Strong knowledge of data governance, security protocols, and compliance requirements.
Must have skills.
Spark, Azure, Databricks, NoSQL, Databricks, Snowflake
Job Title: Data ArchitectJob Summary:We are seeking an experienced professional to design, implement, and manage scalable data architectures and big data solutions. The ideal candidate will have strong expertise in data modeling, cloud platforms, and data governance to ensure data integrity, security, and compliance.Key Responsibilities:Design and implement scalable data architectures, data models, schema designs, and database optimizations.Work with various database management systems (RDBMS, NoSQL) and data warehousing tools (Databricks, Snowflake, Redshift).Leverage big data frameworks (e.g., Spark) and cloud platforms (e.g., Azure) for distributed computing and data processing.Develop and maintain ETL processes using cloud-based data services and tools.Implement and enforce data governance best practices including data lineage, quality management, and compliance.Ensure data security through strong understanding of encryption, protocols, and regulatory compliance standards.Qualifications & Skills:Proven experience in designing large-scale data systems.Proficiency in big data frameworks, cloud platforms, and ETL tools.Strong knowledge of data governance, security protocols, and compliance requirements.