Senior Data Architect- Snowflake

We are looking for an 12+years experienced candidates for this role and a minimum of 8-10 years of experience in data engineering, encompassing the development and scaling of data warehouse and data lake platforms.
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
Responsibilities include:
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.
Fact Based data modelling and data normalisation
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.
Certifications :
Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
Certifications related Snowflake (e.g., SnowPro core/Snowpro advanced Architect/Snowpro advance Data Engineer ) are desirable but not mandatory.
Primary Skills :
Mandatory Skills:
Snowflake experience, Data Architecture experience, ETL process experience, Large Data migration solutioning experience, Dimension modelling
Extensive experience in designing and implementing data solutions using Snowflake.
Proficiency in data modeling, schema design, and optimization within Snowflake environments, Dimension modelling.
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 realtime 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 :
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, non-technical stakeholders.
Strong problem-solving and analytical skills - Ability to work effectively in a collaborative team environment and lead cross-functional initiatives.