Data Architect

2 days ago

Palo Alto, California, United States Maxonic Full time

About the role

The Data Architect role offers the successful candidate the opportunity 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 & engineering teams and their customers & partners.

The role drives 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.
  • 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.

About Maxonic

Since 2002, Maxonic has been at the forefront of connecting candidate strengths to client challenges.

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.

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