Sr. Data Architect

2 days ago

New Delhi, India Reflections Info Systems Full time

We are looking for 10+ years experienced Sr. Data ArchitectA 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 PMPrimary 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 environmentsResponsibilities 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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