Data Architect
1 month ago
As a Snowflake - Data Architect your work is a combination of hands-on contributions to designing, implementing, and optimizing the Snowflake data warehouse environment. The ideal candidate will possess deep expertise in Snowflake architecture, data modeling, and ETL processes, along with a proven track record of successfully delivering scalable and high-performance data :
Building Horizontal Snowflake Practice :
- Contribute to the organization's success by building reusable frameworks, tools, and accelerators for Snowflake implementations.
- Ensure the reusability of components aligns with the cost optimization strategies outlined in the Snowflake cost model.
- Incorporate the latest features of Snowflake into reusable components to ensure they remain current and effective.
- Support the development of horizontal Snowflake practices, fostering collaboration and knowledge sharing across teams.
- Share insights on cost optimization, data modeling best practices, and the utilization of Snowflake features during collaborative efforts.
- Implementations in Snowflake, showcasing a strong understanding of its architecture and capabilities.
- Manage and mentor a team of data engineers, fostering a culture of innovation and excellence.
- Actively participate in the Snowflake community, staying updated on the latest features, industry trends, and best practices.
- Promote a culture of innovation, encouraging team members to explore and implement cutting-edge solutions in Snowflake projects.
- Advocate for data quality and governance in the development of reusable components to maintain
consistency.
- Actively participate in relevant conferences, webinars, and forums to stay updated on industry advancements.
- Pursue ongoing education and certification in Snowflake and related technologies to maintain a cutting-edge skill set.
Project Delivery Responsibilities :
- Ensure cost-effective solutions by considering the Snowflake cost model and implementing optimizations where applicable.
- Prioritise data quality and governance in solution design, implementing best practices to maintain accuracy and integrity.
- Provide detailed technical specifications, encompassing data models, ETL processes, and integration points.
- Lead the development of technical solutions for Snowflake-based projects, ensuring alignment with business requirements.
- Incorporate innovative approaches, such as leveraging generative AI, to enhance Snowflake solutions for advanced analytics and predictive modeling.
- Stay updated on Snowflake's latest features, integrating them into project designs for enhanced functionality.
Foster a culture of continuous learning and improvement within the project delivery process.
Requirements :
- B. E. / Masters in Computer Science, Information Technology, or Computer Engineering or any
equivalent degree with good IT experience and strong experience as a Snowflake Architect.
- 8+ years of experience in Snowflake architecture, data modeling, and ETL processes, a minimum of 2 project executions.
- Proficient in handling high-volume data, leading large-scale data migrations, and optimizing costs within the Snowflake environment.
- Good experience in SQL, query optimization techniques, and implementing data security and governance practices in Snowflake.
- Good experience in Snowflake architecture, data modeling, and ETL processes.
- Should have hands-on knowledge of implementing data acquisition strategies, designing integration workflows, and building consumption layers within Snowflake.
- Primary Skills-Snowflake, Python, DBT, AWS/Azure/GCP, Data Modeling, Design Patterns, ETL/ELT processes and Data Warehousing concepts
- Good to have knowledge of building reusable modules, tools, and accelerators for Snowflake.
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