A minimum of 12+ 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

• 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.

• 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.

Mandatory Skills

• Snowflake experiance, Data Architecture experiance, ETL process experiance, Large Data migration solutioning experiance
• 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
• 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.

• 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.