Data Architect

As a skilled Data Architect with expertise in Snowflake, your role will involve designing, implementing, and optimizing cloud-based data architecture. You will be pivotal in building scalable data solutions, collaborating with stakeholders, and establishing data architecture standards and best practices. Key Responsibilities: - Design and implement robust, scalable Snowflake-based data architectures. - Lead the development and optimization of data models to support analytics, reporting, and operational workflows. - Collaborate with data engineers, analysts, and stakeholders to translate business requirements into technical solutions. - Establish and enforce data architecture standards, governance, and best practices. - Design and implement data pipelines using ETL/ELT tools such as dbt, Fivetran, Informatica, Talend, etc. - Optimize Snowflake performance through clustering, partitioning, caching, and query tuning. - Define data security, access controls, and data masking strategies in Snowflake. - Integrate Snowflake with various data sources including AWS, Azure, GCP, APIs, and on-prem systems. - Stay updated with Snowflake's evolving features and recommend adoption. Qualifications: - Bachelors or Masters degree in Computer Science, Information Systems, or a related field. - Experience in data architecture, data engineering, or database development. - Hands-on experience with Snowflake in production environments. - Strong knowledge of data modeling (star/snowflake schemas) and dimensional modeling. - Proficiency with SQL, Python, and ETL/ELT tools. - Experience with cloud platforms such as AWS, Azure, or GCP. - Knowledge of data governance, data quality, and metadata management. Please note: The job description mentions no additional details about the company.,