Data Architect (Local , NO CTC)

$160,000 - $180,000/Yr

Maxonic - Palo Alto, CA

posted 2 months ago

Full-time - Mid Level
Hybrid - Palo Alto, CA
Professional, Scientific, and Technical Services

About the position

The Data Architect role at Maxonic offers a unique opportunity for a skilled professional to lead the adoption of generative AI in the design, development, and migration of data applications. This position is hands-on and requires deep collaboration with product and engineering teams, as well as customers and partners. The successful candidate will be instrumental in driving the maturation and adoption of the Client's redefined software design lifecycle, particularly among cloud data warehouse partners and customers. In this role, the Data Architect will be responsible for identifying and quantifying customer business requirements across various product use-cases. They will design generative AI-powered software design lifecycle solutions tailored to these use-cases, utilizing leading cloud data warehouses such as Snowflake and Databricks. The architect will also be tasked with architecting, implementing, and optimizing automated data pipelines, ETL processes, model workflows, and data warehousing solutions. Additionally, the Data Architect will design, document, and advocate for best practices in data architecture, AI modeling, and data integration to facilitate the accelerated adoption of Client solutions. Conducting technical assessments, developing proofs-of-value, and presenting automated solutions to drive optimized paths of product adoption within customers will also be key responsibilities. The role requires continuous development of subject-matter expertise in the latest industry trends and advancements in cloud data platforms, code generation LLMs, text-to-query, and related technologies. Furthermore, the architect will implement security, compliance, and data governance standards across all Client solutions.

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 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.

Requirements

  • 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 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.

Nice-to-haves

  • Relevant certifications in Snowflake, Databricks, AI, or cloud platforms are a plus.
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