Data Architect

Rootshell Enterprise Technologies • Santa Clara, CA

2d

About The Position

The Data Architect will expand and optimize data and data-pipeline architecture, improving data flow and collection for cross-functional teams. The role supports software developers, database architects, data analysts, and data scientists on data initiatives, and ensures consistent data-delivery architecture across ongoing projects. It involves building and maintaining pipelines and infrastructure for data extraction, transformation, and loading from varied sources, both on premises and on cloud platforms. The role also works with Product, Data, and Design stakeholders to address technical data issues and support infrastructure needs.

Requirements

• Advanced working knowledge of SQL, including query authoring and experience with relational databases.
• Experience building and optimizing data pipelines, architectures, and datasets.
• Strong analytical skills for working with unstructured datasets.
• A successful history of manipulating, processing, and extracting value from large, disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable data stores.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Experience with relational SQL and NoSQL databases, including PostgreSQL and Cassandra.
• Experience with object-oriented or object-function scripting languages such as Python and Java.

Responsibilities

• Create and maintain optimal data-pipeline architecture.
• Assemble large, complex datasets that meet functional and non-functional business requirements.
• Build infrastructure for extracting, transforming, and loading data from SQL and NoSQL sources.
• Build data pipelines on premises and on cloud platforms.
• Support software developers, database architects, data analysts, and data scientists on data initiatives.
• Ensure optimal data-delivery architecture remains consistent across ongoing projects.
• Work with Product, Data, and Design stakeholders on technical data issues and data-infrastructure needs.
• Perform root-cause analysis on internal and external data and processes to answer business questions and identify improvement opportunities.
• Build processes that support data transformation, data structures, metadata, dependencies, and workload management.

What This Job Offers

• Job Type: Full-time
• Education Level: No Education Listed