DATA ARCHITECT

Job Title: Data Architect

Location: Santa Clara, CA (Onsite)

Fulltime/Permanent

Job Description:

What you'll be doing:

• Build data pipelines to transport data from a data source to the data lake.
• Build data systems and pipelines ensuring that data sources, ingestion components, validation functions, transformation functions, and destination are well understood for implementation.
• Develop and implement the new End-to-End Data systems for our Planning, Logistics and Services initiatives.
• Prepare data for prescriptive and predictive modeling by making sure that the data is complete, has been cleansed, and has the necessary rules in place.
• Analyze and organize raw operational data including structured and unstructured data.
• Lead discussions with stakeholders and IT to identify and implement the right data strategy given data sources, data locations, and use cases.
• Interpret trends and patterns by performing complex data analysis.
• Build/develop algorithms, prototypes, and analytical tools that enable the Ops teams to make critical business decisions.

What we need to see:

• Master's or Bachelor's degree in Computer Science or Information System, or equivalent experience.
• 8+ years of relevant experience including programming knowledge (i.e Python, SQL).
• 5+ years of relevant experience in big data technologies and cloud platforms (i.e Spark, AWS).
• 5+ years of relevant experience in data lake technologies (i.e Iceberg, Delta, Huidi).
• 5+ years of experience in development best practices like CICD, Unit testing, Integration testing
• 5+ years of experience grabbing data from source systems like REST APIs, other databases using JDBC, ODBC, SFTP servers.
• Differentiating skill sets:
  • 2+ years of experience with kubernetes and docker
• Experience in developing required infrastructure for optimal extraction, transformation, and loading of data from various sources using AWS, Azure, SQL or other technologies.
• Experience architecting, designing, developing, and maintaining data warehouses/data lakes for complex data ecosystems.
• Experience working with large datasets, databases and the software used to analyze the data.
• Expert in data and database management including data pipeline responsibilities in replication and mass ingestion, streaming, API and application and data integration.
• Strong analytical skills with the ability to collect, organize, and disseminate significant amounts of information with attention to detail and accuracy.
• Highly independent, able to lead key technical decisions, influence project roadmap and work effectively with team members.

Ways to stand out from the crowd:

• Knowledge in operational processes in chips, boards, systems, and servers with a view of data landscape.
• Self-starter, positive mindset with integrity and accountability, highly motivated, driven, and high-reaching.
• Solid ability to drive continuous improvement of systems and processes.
• A consistent record to work in a fast-paced environment where good interpersonal skills are crucial.