Sr. Snowflake Data Engineer - Finance

Advanced Micro Devices, Inc•Austin, TX

3d•Hybrid

About The Position

Join AMD’s CFO organization as a Lead Snowflake Data Engineer, where you will play a pivotal role in shaping the future of Finance data and analytics. This is a highly visible position responsible for leading the design and evolution of Finance’s data ecosystem in Snowflake. In the role, you will partner closely with Finance and IT teams to build scalable, high-quality data products that power financial reporting, forecasting, and decision-making. You will act as the bridge between business and technology, ensuring Finance’s data needs are translated into robust, enterprise-grade solutions. Beyond hands-on engineering and modelling, you will help mature our data product portfolio, establish best practices, and foster a culture of data ownership and self-service. You’ll mentor and enable a growing community of Citizen Data Engineers, empowering Finance professionals to leverage data more effectively. This role offers the opportunity to influence strategy, drive innovation, and build lasting impact across AMD’s Finance organization.

Requirements

Experienced and motivated data engineer with strong fundamentals in data architecture, modeling, and modern cloud data platforms.
Deep expertise in the Snowflake ecosystem, including Snowflake Intelligence & Cortex.
Solid understanding of Finance data and processes.
Comfortable designing scalable data and AI solutions.
Ability to engage with business stakeholders to understand their needs and translate them into actionable data products.
Strong communication, collaboration, and stakeholder management skills.
Ability to work effectively across Finance and IT while influencing without authority.
Experience navigating and integrating across enterprise data environments, including SAP S4 / HANA and Microsoft SQL Server.
Understanding of how to connect legacy and modern platforms into a cohesive data ecosystem.

Nice To Haves

Strong hands-on experience with Snowflake (data modeling, performance optimization, security, data sharing, Snowflake Intelligence / Cortex)
Deep expertise in SQL and database design principles
Proven experience working with Finance data domains (GL, FP&A, financial reporting, planning)
Experience integrating and working with SAP S4 / HANA and Microsoft SQL Server environments
Familiarity with BI and analytics tools such as Power BI
Experience enabling self-service analytics and mentoring business users or citizen developers
Strong understanding of data governance, data quality, and data product lifecycle management
Excellent communication, stakeholder management, and collaboration skills
Bachelor’s Degree in Computer or Information Sciences, Statistics, Data Management or related disciplines. Relevant experience will also be considered.

Responsibilities

Serve as the Snowflake technical lead for Finance, defining architecture, standards, and best practices for data engineering and data products
Design, build, and optimize scalable data models within Snowflake that serve as a foundation for AI wrappers.
Partner with IT and data platform teams to align Finance data solutions with enterprise architecture and capabilities
Collaborate with Finance stakeholders (FP&A, Accounting, Treasury, etc.) to translate business requirements into high-quality data products
Drive the maturity of Finance’s data product portfolio, including data quality, documentation, lineage, testing, and SLAs
Establish and grow a Finance data community of practice, mentoring and training Citizen Data Engineers
Enable and promote self-service analytics, reducing reliance on manual processes and ad hoc Excel-based workflows
Act as a bridge between business and technical teams, ensuring clear communication and alignment across stakeholders.