Sr. Data Architect
3 weeks ago
Working hours - 8 hours , with a few hours of overlap during EST Time zone. This overlap hours is mandatory as meetings happen during this overlap hours. Working hours will be 12 PM - 9 PM
Primary Skills :
Extensive experience in designing and implementing data solutions using Snowflake, 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
Responsibilities include:
Mandatory Skills: Snowflake experiance, Data Architecture experiance, ETL process experiance, Large Data migration solutioning experiance.
Lead the design and architecture of data solutions leveraging Snowflake, ensuring scalability, performance, and reliability.
Collaborate with stakeholders to understand business requirements and translate them into technical specifications and data models.
Develop and maintain data architecture standards, guidelines, and best practices, including data governance principles and DataOps methodologies.
Oversee the implementation of data pipelines, ETL processes, and data governance frameworks within Snowflake environments.
Provide technical guidance and mentorship to data engineering teams, fostering skill development and knowledge sharing.
Conduct performance tuning and optimization of Snowflake databases and queries.
Stay updated on emerging trends and advancements in Snowflake, cloud data technologies, data governance, and DataOps practices.
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