Data Platform Architect
Solidigm, Rancho Cordova, CA, United States
Data Platform Architect
Company Description
Join a multibillion-dollar global company that brings together amazing technology, people, and operational scale to become a powerhouse in the memory industry. Headquartered in Rancho Cordova, California, Solidigm combines elements of an established, successful technology company with the spirit, agility, and entrepreneurial mindset of a start-up. In addition to the U.S. headquarters and other facilities in the U.S., the company has international presence in Asia, Europe, and the Americas. Solidigm will continue to lead the world in innovating new Memory technologies with aspirations to be the #1 NAND memory company in the world. At Solidigm, we view problems as opportunities to define innovative solutions that hold the power to change the world and unleash the potential technological needs that the future holds. At Solidigm, we are One Team that fosters a diverse, equitable, and inclusive culture that embraces individual uniqueness and empowers us to bring our best selves to deliver excellence in support of Solidigm's vision and mission to be the go-to partner for optimized data storage solutions. You can be part of the takeoff of an innovative business that develops cutting-edge products, delivers strong business value for customers, provides an engaging workplace for its employees, and serves a greater impact on the world. This is a golden opportunity for the right applicant to join us and help design, build, and lead Solidigm. We want a diverse team of dedicated professionals who will not just be Solidigm team members but contribute to how we shape the future of the organization. We are seeking applicants who will grow and thrive in our culture; be customer inspired, trusting, innovative, team-oriented, inclusive, results driven, collaborative, passionate, and flexible.
Job Description
The Data Platform Architect will play a pivotal role in designing infrastructure and processes that enable delivery of enterprise data products that meet business needs. This position involves designing and optimizing infrastructure for use by SingleStore, Snowflake, DBT, cloud native tools, and Kubernetes. They will ensure the performance, cost-efficiency, and security of data solutions. The Data Platform Architect will also be responsible for maintaining comprehensive documentation, conducting data and integration tests, and collaborating with IT partners to implement robust data solutions.
Responsibilities
- Design and delivery of enterprise data products and systems.
- Implementation of new cloud infrastructure.
- Enhancements and bug fixes to address data quality, performance, and delivery
- Creation and maintenance of external and internal documentation and standards to optimize for performance, cost, and efficiency.
- Data and integration tests using DBT and other tools.
- Creation of performance and cost analysis documents.
- Analysis and reports of security policies.
- Participate in daily stand-up meetings.
- Analyze source data and produce reports summarizing their contents.
- Participate in user forums and collect feedback to improve data handling across the organization.
- Answer questions from the user community about data and processes.
Qualifications
- Minimum of 5 years of experience developing/architecting on Big Data / AI platforms
- Minimum 2 years of experience building enterprise solutions in the public cloud.
- Minimum 2 years of experience designing solutions using distributed systems(Apache Spark, Snowflake, etc)
- Minimum 4 years of software development using python or a comparable language.
- Minimum 3 years of experience using Jira or other agile software development tools.
- Excellent written and verbal communication skills.
- Experience designing and implementing role-based access control policy in an enterprise environment.
Additional Information
For California, Colorado, New York, Washington, and remote roles: The compensation range for this role is $113,210 to $196,720. Actual compensation is influenced by a variety of factors including but not limited to skills, experience, qualifications, and geographic location.