Data Architect
Location: Cupertino, CA (hybrid-on site 3 days per week)
Job Type: This is a Full-Time W2 position with us here at Theorem where you will be working as a consultant at this top FAANG company. Since you’re a full time-employee, you will receive an annual salary, full benefits, PTO, 401K, etc. This position is on a high impact team working on a long-term engagement. You are also able to explore employment opportunities at this tech company while working via Theorem!
Summary
We are seeking an experienced Cloud Data Solution Architect to join our team! This is an excellent opportunity to play a critical role in defining, delivering and optimizing cloud based data solutions that have a substantial impact on our business.
Key Qualifications
8+ years of experience architecting, designing, developing and optimizing large scale data solutions
Strong experience in building with AWS infrastructure and services
Deep understanding and strong development experience with distributed data processing frameworks such as Hadoop, Spark, Storm, Flink and others
Expert knowledge and deep hands on experience with data warehouse, data lake, and lake house
Excellent design and development experience with SQL and NoSQL database, OLTP and OLAP databases
Experience in design and development of custom ETL pipelines using SQL, scripting languages (Python/Shell/Golang) and well defined API’s
Proficient in dimensional modeling concepts and techniques
Good programming skills in Java, Scala or Python
Excellent verbal and written communication skills
Description
We are looking for an experienced cloud data solution architect to help define and deliver cloud based data solutions and technical strategies across our product portfolio. You will architect, develop, and optimize large scale data solutions to enable our global and regional sales and finance teams to make data-driven decisions.
Your responsibilities will include:
Drive the optimization of the existing data pipelines and data stacks holistically across all services and solutions
Empathize with business stakeholders to define and evangelize next-generation cloud based data strategy
Research industry leading technologies and build proof of concept data solutions
Architect and develop highly scalable, reliable and maintainable cloud based end-to-end data pipelines
Bonus Qualifications
Experience with data security and privacy best practices, such as RBAC, RLS, mTLS, and threat modeling