Snowflake Architect

1 month ago

Delhi, India USEReady Full time
Job Title: Snowflake Architect

Position Type: Full-time

Experience Level: 10-14 years

Job Summary:

- We are seeking a highly skilled Data Engineer Architect to lead our data engineering efforts.- The ideal candidate will have extensive experience with Snowflake, data warehousing, data pipeline design,- and a strong background in modern data engineering tools and practices.- This role will be crucial in designing and implementing scalable data solutions that support our business objectives.

Key Responsibilities:

- Design and implement robust data architecture solutions utilizing Snowflake and data warehousing best practices.- Develop and maintain data pipelines using tools such as DBT and Apache Airflow to ensure seamless data flow and transformation.- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications for data projects.- Optimize existing data processes and workflows to improve performance and efficiency.- Manage and maintain RDBMS databases, with a focus on AWS RDS - MySQL, MS SQL*Server, ensuring data integrity and availability.- Utilize Alteryx for data preparation, blending, and advanced analytics workflows.- Develop best practices for data governance, security, and quality assurance.- Mentor and guide junior data engineers and analysts, fostering a culture of continuous learning and improvement.- Stay current with industry trends and emerging technologies in data engineering.

Qualifications:

- Bachelor’s degree in Computer Science, Information Technology, or a related field; Master’s degree preferred.- 7+ years of experience in data engineering, with a focus on data architecture and design.- Strong expertise in Snowflake, including data modeling, ETL/ELT processes, and performance tuning.- Proficiency in building and maintaining data pipelines using DBT and Apache Airflow.- Solid experience with RDBMS, particularly AWS RDS, and SQL optimization techniques.- Familiarity with Alteryx for data analytics and preparation.- Knowledge of cloud technologies, especially AWS, and experience with services such as S3, EventBridge, and Lambda.- Excellent problem-solving skills and the ability to work under pressure in a fast-paced environment.- Strong communication skills, both written and verbal, with the ability to collaborate effectively with technical and non-technical stakeholders.

Preferred Skills:

- Experience with data visualization tools (e.g., Tableau, Power BI).- Understanding of data warehousing concepts and best practices.- Familiarity with machine learning concepts and tools.

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