Note: The job is a remote job and is open to candidates in USA. Adeia Inc. is a technology company that develops and licenses foundational innovations for the semiconductor and media industries. The Principal Data Engineer will provide enterprise technical leadership for the company’s data and analytics platform, owning its architecture, roadmap, standards, pipelines, analytics delivery, and governed data foundation for AI initiatives while mentoring technical talent.
Responsibilities
- Set the direction for data at Adeia. Own the architecture and multi-year roadmap for the company’s data platform, partnering with the Director of Business Technologies to translate executive priorities into technical strategy
- Own the data platform end to end. Lead pipeline architecture, the Snowflake warehouse, data modeling, source extraction, data quality, lineage, and warehouse consumption economics
- Build and operate data pipelines. Deliver reliable ingestion and transformation from SaaS systems of record, including Salesforce and NetSuite, using Fivetran and dbt
- Own analytics and BI delivery. Deliver dashboards, self-service BI, metric definitions, analytical models, and internal data applications in partnership with stakeholders across the company
- Define the standards Adeia builds on. Establish data modeling conventions, pipeline patterns, and quality, documentation, and lineage practices that ensure data is trustworthy, discoverable, and maintainable across the organization
- Shape where Adeia invests in data. Evaluate emerging technologies, manage vendor relationships, and provide technology investment recommendations supported by business and technical evidence
- Supply the data foundation for AI. Provide the governed data platform that supports AI agents and automation while resolving data-related root causes affecting AI solutions
- Grow data capability across the company. Mentor IT engineers and business technologists, raising the quality of data engineering practices beyond your own work
Skills
- • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical discipline
- • Extensive hands-on experience building and operating production data pipelines, dimensional data models, and cloud data warehouse platforms
- • Deep experience with Snowflake, Fivetran, dbt, SQL, and Python
- • Experience delivering analytics and business intelligence solutions using governed data
- • Experience defining technical direction, prioritizing competing business needs, and partnering directly with business stakeholders
- • Experience mentoring engineers and raising technical capability across an organization
- • Advanced degree in a related discipline
- • Snowflake or cloud platform certifications
- • Experience supporting AI/LLM applications with governed data
- • Experience building Streamlit applications or similar internal data applications
- • Experience in a SOX-regulated or public company environment
Benefits
- Bonus Target: 15% of annualized base pay
- Restricted Stock Units Target (as a % of annualized base pay): 60%
- Medical, dental, vision, 401(k), paid time off
- Generous paid time away from work, including flexible time off, holidays and sick time
- Health and wellness initiatives
- A charitable match program to help you give back to your community
- Employee discounts
- Transportation reimbursements
- Fitness facilities
- A flexible, hybrid work environment combining the best of in-office collaboration and community-building along with the benefits of working from home.
Company Overview
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