Senior Data Architect - Snowflake DB

Job Role : Sr. Data Architect - SNOWFLAKE Experience : 12 years Notice period : Immediate Location : Description : 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 : - 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. 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 Dimension Modeling is a must - 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/ Skills (If Any) : - 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. Educational Qualifications : - Bachelors or Masters degree in Computer Science, Information Systems, or related field. Certifications Required(If Any) : - Certifications related Snowflake (e.g., SnowPro core/Snowpro advanced Architect/Snowpro advance Data Engineer ) are desirable but not mandatory. (ref:hirist.tech)

Location: in, IN

Posted Date: 5/1/2025