Lead the end-to-end data lake design and architecture strategy while adopting emerging technologies & building cloud-native design patterns and solution designs that deepen our understanding of business drivers and helps us achieve our strategic objectives.
Engage with organizational stakeholders to align priorities, communicate solution design trade-offs and recommendations, and build and execute development plans.
Define and implement a scalable and efficient data lake architecture that supports the storage, processing, and analysis to deliver data products. Collaborate with technology and architecture teams to ensure alignment with enterprise architecture standards.
Oversee the design and implementation of robust data integration processes and pipelines for ingesting and transforming product data. Ensure seamless data flow across the organization and optimize data processing workflows
Establish and execute a holistic data architecture strategy in line with business goals.
Lead the assessment of emerging data trends and technologies, driving continuous innovation to keep the organization ahead in the evolving data landscape.
Mentor and guide solution architects and engineers, fostering a culture of innovation and continuous improvement in data management practices.
Design and implement highly scalable Snowflake architectures.
Lead the integration of Snowflake with various data sources and business systems.
Optimize and maintain Snowflake environments to ensure they meet the functional and technical requirements.
Develop and execute data migration strategies from legacy systems to Snowflake leveraging Event-Driven-Architectures
Define and enforce industry-aligned data architecture standards and best practices.
Spearhead the design and execution of intricate data projects in line with organizational objectives and architectural guidelines.
Offer technical direction to optimize scalability, flexibility, and cost-efficiency of data solutions, facilitating informed decision-making and widespread data utilization.
Collaborate with cross-functional teams to integrate data architecture into all aspects of the organization’s operations, fostering a culture of data-driven decision-making and innovation.
Support the development and execution of data integration strategies, ensuring seamless data flow across systems and platforms.
Proven experience in a senior data architect role, with a demonstrated track record of delivering highly scalable, flexible, and cost-effective cloud-native enterprise data solutions.
Excellent understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies
Expert level proficiency with data architecture patterns– Data Warehouse, Data Lake, Data Mesh, Lake house, Data as a product
Expert level proficiency in engineering & optimizing with various data engineering ingestion patterns – Batch, Micro Batch, Streaming and API
