Sr. Data Architect

Job Title - Sr. Data Architect - Snowflake &SAP BW/ECC Full time Trivandrum/Kochi office in hybrid mode (at least once a week from office). We are lookingfor 10+ years of experienced Data architects Job Description - 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 duringEST Time zone. This overlaphours is mandatory as meetings happen during this overlap hours. Working hours will be 12 PM - 9 PM Responsibilities include: - Mandatory Skills: Snowflake experience, Data Architecture experience, ETL process experience, Large Data migration solutioning experience - Lead the designand architecture of data solutionsleveraging Snowflake, ensuringscalability, performance, and reliability. - Oversee the implementation of data pipelines, ETL processes, and data governance frameworks within Snowflake environments. Ensure efficient data extraction from SAP BW/ECC systems, understand the Standard SAP objects(ABAP Logics etc) and BW transformations. - 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 tuningand 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’sdegree in ComputerScience, Information Systems,or related field. - Certificationsrelated Snowflake (e.g.,SnowPro core/Snowpro advancedArchitect/Snowpro advance Data Engineer ) are desirable but not mandatory. Primary Skills : - Extensive experience in designing and implementing data solutions using Snowflake, DBT. - Proficiency in data modeling, schemadesign, and optimization within Snowflake environments. - Strong understanding of SAP BW/ECCsystems, including data extraction, transformation, and loading (ETL/ELT) processes. Experience in integrating SAP data into cloud data platforms. - Strong understanding of cloud data warehousing conceptsand 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 (AdvancedBusiness Application Programming) development. - Experience in designing, developing, and implementing SAP ABAP programs,reports, interfaces, and enhancements - Demonstratedexperience in implementing data governance frameworks and DataOps practices. - Working experience in SAP environments - Familiarity with realtimestreaming technologies and Change Data Capture (CDC) mechanisms. - Knowledge of data governance principles and DataOps methodologies - Proven track recordof architecting and delivering complexdata 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 abilityto convey complextechnical 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.