Sr. Data Architect

6 days ago

India Reflections Info Systems Full time

Job Description We are looking for 10+ years experienced Sr. Data Architect - A minimum of 10 years of experience in data engineering, encompassing the development and scaling of data warehouse and data lake platforms. - The candidate should possess a strong background in both Snowflake and SAP BW/ECC environments, demonstrating leadership in technical design, architecture, and implementation of complex data solutions. Understand SAP ABAP programs, reports, interfaces, and enhancements - 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 SAP BW/ECC systems, including data extraction, transformation, and loading (ETL/ELT) processes. Experience in integrating SAP data into cloud data platforms. - 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) - Proficiency in SAP ABAP (Advanced Business Application Programming) development. - Experience in designing, developing, and implementing SAP ABAP programs, reports, interfaces, and enhancements - 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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