Job
Description
As a Senior Data Architect specializing in Snowflake, your primary responsibility will be to lead the design and architecture of data solutions using Snowflake. This role requires a strong understanding of data architecture principles and experience in ETL processes, large data migration, and data governance frameworks. Your key responsibilities will include: - Leading the design and architecture of data solutions leveraging Snowflake, ensuring scalability, performance, and reliability. - Collaborating with stakeholders to understand business requirements and translate them into technical specifications and data models. - Developing and maintaining data architecture standards, guidelines, and best practices, including data governance principles and DataOps methodologies. - Overseeing the implementation of data pipelines, ETL processes, and data governance frameworks within Snowflake environments. - Providing technical guidance and mentorship to data engineering teams, fostering skill development and knowledge sharing. - Conducting performance tuning and optimization of Snowflake databases and queries. - Staying updated on emerging trends and advancements in Snowflake, cloud data technologies, data governance, and DataOps practices. Qualifications required for this role include: - Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. - Certifications related to Snowflake (e.g., SnowPro core/SnowPro advanced Architect/SnowPro advance Data Engineer) are desirable but not mandatory. Primary skills that are essential for this role: - Extensive experience in designing and implementing data solutions using Snowflake and DBT. - Proficiency in data modeling, schema design, and optimization within Snowflake environments. - Strong understanding of cloud data warehousing concepts and best practices, particularly with Snowflake. - Expertise in python/java/scala, SQL, ETL processes, and data integration techniques, with a focus on Snowflake. - Familiarity with other cloud platforms and data technologies (e.g., AWS, Azure, GCP). - Demonstrated experience in implementing data governance frameworks and DataOps practices. - Working experience in SAP environments. - Familiarity with real-time streaming technologies and Change Data Capture (CDC) mechanisms. - Knowledge of data governance principles and DataOps methodologies. - Proven track record of architecting and delivering complex data solutions in cloud platforms/Snowflake. Secondary skills that would be beneficial for this role: - Experience with data visualization tools (e.g., Tableau, Power BI) is a plus. - Knowledge of data security and compliance standards. - Excellent communication and presentation skills, with the ability to convey complex technical concepts to juniors and non-technical stakeholders. - Strong problem-solving and analytical skills, with the ability to work effectively in a collaborative team environment and lead cross-functional initiatives. As a Senior Data Architect specializing in Snowflake, your primary responsibility will be to lead the design and architecture of data solutions using Snowflake. This role requires a strong understanding of data architecture principles and experience in ETL processes, large data migration, and data governance frameworks. Your key responsibilities will include: - Leading the design and architecture of data solutions leveraging Snowflake, ensuring scalability, performance, and reliability. - Collaborating with stakeholders to understand business requirements and translate them into technical specifications and data models. - Developing and maintaining data architecture standards, guidelines, and best practices, including data governance principles and DataOps methodologies. - Overseeing the implementation of data pipelines, ETL processes, and data governance frameworks within Snowflake environments. - Providing technical guidance and mentorship to data engineering teams, fostering skill development and knowledge sharing. - Conducting performance tuning and optimization of Snowflake databases and queries. - Staying updated on emerging trends and advancements in Snowflake, cloud data technologies, data governance, and DataOps practices. Qualifications required for this role include: - Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. - Certifications related to Snowflake (e.g., SnowPro core/SnowPro advanced Architect/SnowPro advance Data Engineer) are desirable but not mandatory. Primary skills that are essential for this role: - Extensive experience in designing and implementing data solutions using Snowflake and DBT. - Proficiency in data modeling, schema design, and optimization within Snowflake environments. - Strong understanding of cloud data warehousing concepts and best practices, particularly with Snowflake. - Expertise in python/java/scala, SQL, ETL processes, and data integration techniques, with a focus on Snowflake. -
