[Hiring] Data Engineer @Synopsys

Role Description

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

• 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.

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.

Requirements

• 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.

Benefits

• Comprehensive range of health, wellness, and financial benefits designed to support personal and professional success.
• Monetary and non-monetary benefits that help employees thrive.
• Eligibility for an annual bonus, equity, and other discretionary bonuses.
• Details regarding compensation and benefits will be provided throughout the hiring process.