Senior Data Architect
5 days ago
Experience: 10+ years
Notice period: Immediate
Location: Trivandrum / Kochi
Introduction
We are looking for 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 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 include:
- Mandatory Skills: Snowflake experience, Data Architecture experience, ETL process experience, Large Data migration solutioning experience
- Lead the design and architecture of data solutions leveraging Snowflake, ensuring scalability, 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 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.
Certifications :
- Bachelors or Masters 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.
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
- 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.
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 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
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