Cloud Data Architect
3 weeks ago
About the Role:
The Data Architect will play a key role in pioneering the adoption of generative AI in design, development, and migration of data applications. This is a hands-on technical role involving deep collaboration with both product and engineering teams and their customers and partners.
Responsibilities:
- Identify and quantify customer business requirements across the product's use-cases.
- Design generative AI-powered software design lifecycle solutions for the identified use-cases across leading cloud data warehouses like Snowflake and Databricks.
- Architect, implement, and optimize automated data pipelines, ETL processes, model workflow, and data warehousing solutions.
- Design, document, and advocate best practices for data architecture, AI modeling, and data integration for accelerated adoption of Client solutions.
- Conduct technical assessments, develop proofs-of-value, and present automated solutions for driving optimized paths of product adoption within customers.
- Continue to build deep subject-matter expertise in the latest industry trends and advancements in cloud data platforms, code generation LLMs, text-to-query, and related technologies.
- Architect and implement security, compliance, and data governance standards in all Client solutions.
About You:
Graduate education background in computer science or information technology.
Minimum of 5 years of experience in a Data Architect or Solutions Architect role with a focus on implementing cloud data warehouse (e.g. Snowflake, Databricks) solutions.
Enterprise customer-facing experience in driving large-scale cloud data warehouse implementations/migrations is strongly preferable.
Strong expertise in data warehousing, ETL processes, AI modeling, and data integration techniques.
Proficiency in programming languages such as SQL, Python, and Scala.
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Deep understanding of data modeling, AI algorithms (e.g. forecasting, anomaly detection etc.), data governance, and data security principles.
Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
Strong communication and presentation skills, with the ability to effectively convey technical concepts to non-technical stakeholders.
Relevant certifications in Snowflake, Databricks, AI, or cloud platforms are a plus.
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