Data Engineer, Sr Staff - 18239

Job Description and Requirements

We Are

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology powers the Era of Pervasive Intelligence, enabling breakthroughs in artificial intelligence, cloud computing, autonomous systems, and advanced semiconductor design. We empower the world's leading technology companies to accelerate innovation through world-class silicon and software solutions.

Join us and help build the data platforms that enable better business decisions across a global technology leader.

The Opportunity

Synopsys is seeking a talented Data Engineer to design, build, and evolve scalable data and analytics solutions across our modern data ecosystem.

In this role, you will work across the full analytics lifecycle, from building robust data pipelines and transforming data to creating semantic models, reports, and dashboards that enable data-driven decision-making. Leveraging technologies such as Fivetran, Snowflake, dbt, and Power BI, you will help deliver reliable, high-quality, and business-ready analytics solutions that drive measurable impact.

Key Responsibilities

• Partner with business and technical stakeholders to gather requirements, define solution designs, and deliver high-quality data products.
• Design, build, and maintain end-to-end data solutions across ingestion, transformation, modeling, and reporting layers.
• Develop and support scalable data pipelines using Fivetran, Snowflake, and dbt.
• Build and optimize semantic models within Power BI to enable trusted and performant reporting.
• Develop Power BI dashboards, reports, visualizations, and DAX measures that translate business requirements into actionable insights.
• Ensure data quality, consistency, scalability, and performance across data and analytics solutions.
• Collaborate with analytics, engineering, and business teams to support best practices in data architecture and data management.
• Troubleshoot and optimize data pipelines, warehouse performance, semantic models, and reporting solutions.

The Impact You Will Have

You will:

• Deliver reliable and scalable data solutions that support enterprise decision-making.
• Increase trust and accessibility of business-critical data assets.
• Enable faster insights through modern analytics and reporting platforms.
• Improve stakeholder productivity through effective dashboards and self-service analytics.
• Support business initiatives by transforming raw data into meaningful information and actionable outcomes.

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related discipline.
• 5+ years of experience in Data Engineering, Analytics Engineering, BI Engineering, Data Architecture, or related fields.

Technical Expertise

Strong hands-on experience with:

• Snowflake
• dbt
• Fivetran
• Power BI
• SQL (expert-level proficiency)

Strong experience with:

• Dimensional modeling
• Semantic modeling
• Data modeling best practices
• Data warehouse concepts and architecture

Additional experience:

• Designing and implementing end-to-end data solutions from source ingestion through dashboard delivery.
• Building Power BI semantic models and developing DAX measures.
• Creating reports, dashboards, and visual analytics solutions.
• Working with stakeholders to translate business requirements into scalable technical solutions.

Who You Are

• A hands-on data professional who enjoys solving complex analytics and data integration challenges.
• A strong problem solver with a focus on building scalable and maintainable solutions.
• An effective communicator who can bridge business and technical requirements.
• A collaborative team player who thrives in cross-functional environments.
• Detail-oriented and committed to delivering high-quality solutions.
• Curious and passionate about modern data technologies and best practices.
• Results-driven and focused on delivering measurable business value through data.

The Team

You will be part of a team of data engineers, analytics professionals, and technology partners focused on delivering modern data and analytics capabilities across Synopsys. Together, you will help build trusted, scalable data solutions that empower better business decisions and support the company's continued growth and innovation.

Rewards and Benefits

Synopsys offers a comprehensive range of health, wellness, and financial benefits designed to support your personal and professional success. Our total rewards package includes both monetary and non-monetary benefits that help employees thrive. Additional details regarding compensation and benefits will be provided throughout the hiring process.

At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.