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Data Architect

2 months ago


Palo Alto, California, United States Maxonic Full time
About the Role

We are seeking a highly skilled Data Architect to pioneer 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 customers and partners.

The successful candidate will drive the maturation and adoption of client-redefined software design lifecycle amongst both cloud data warehouse partners and customers.

Responsibilities
  • Identify and quantify customer business requirements across the product's use-cases.
  • Design client 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.
  • Continuously 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.
About Maxonic

Maxonic has been at the forefront of connecting candidate strengths to client challenges since 2002. Our award-winning, dedicated team of recruiting professionals are specialized by technology, are great listeners, and will seek to find a position that meets the long-term career needs of our candidates. We take pride in the over 10,000 candidates that we have placed, and the repeat business that we earn from our satisfied clients.