Senior Data Engineer

Category Data ScienceHire Type EmployeeJob ID 12418Remote Eligible NoDate Posted 13/08/2025
We Are: At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.
You Are:

You are an accomplished data professional with a passion for leveraging technology to generate actionable insights and drive business outcomes. You thrive in dynamic, collaborative environments and are eager to tackle complex problems using advanced data engineering, analytics, and machine learning techniques. Your curiosity drives you to stay abreast of the latest advancements in AI and generative technologies, and you are always looking for innovative ways to them in real-world scenarios.

You bring not only technical expertise but also a deep understanding of business processes and stakeholder needs. You are adept at translating raw data into meaningful intelligence that empowers decision-makers. Your commitment to excellence is matched by your methodical approach to problem-solving and your ability to communicate technical concepts clearly to both technical and non-technical audiences.

You value diversity and inclusivity, recognizing that the best solutions emerge from varied perspectives. Whether working independently or as part of a global team, you exhibit adaptability, resilience, and a drive for continuous learning. You are motivated by the opportunity to help shape the future of data platforms at Synopsys, and you are ready to make a significant impact on our enterprise data ecosystem.

What You'll Be Doing:

• Lead and develop data models, structures, algorithms, and transformation processes to enable data-driven decision-making across the organization.
• Design, develop, and deploy robust, scalable AI/Generative AI and machine learning algorithms, including Large Language Models (LLMs).
• Collaborate with cross-functional teams to shape the design and direction of Synopsys' Enterprise Data Platform.
• Work end-to-end on data products: from problem analysis to data pipeline (ELT/ETL) design, dimensional modeling, and advanced visualizations.
• Provide expert support and guidance to business users, including preparing data for predictive and prescriptive modeling.
• Champion best practices in data management, ensuring consistency of process, usage, and data integrity.
• Evaluate and recommend new data tools and processes to enhance platform capabilities and user experience.
• Analyze, design, configure, develop, test, and document new projects, enhancements, and ongoing production support for enterprise applications.
• Deliver day-to-day production support to internal business units, collaborating with users to implement enhancements and resolve issues.
• Maintain a strong awareness of emerging trends in AI, Generative AI, and machine learning, seeking opportunities to innovate and enhance existing systems.

The Impact You Will Have:

• Drive data-driven decision-making by delivering reliable, scalable data solutions for business stakeholders.
• Accelerate Synopsys' adoption of cutting-edge AI and machine learning technologies to solve complex business challenges.
• Enhance the value and usability of enterprise data through innovative modeling, transformation, and visualization techniques.
• Improve operational efficiency by automating data flows and streamlining analytics processes.
• Empower teams with actionable insights that inform strategy, product development, and customer engagement.
• Set new standards for data quality, governance, and integrity within a global technology leader.
• Foster a culture of continuous improvement and learning by introducing advanced data tools and methodologies.
• Strengthen Synopsys' competitive advantage through rapid, informed decision-making and predictive analytics.

What You'll Need:

• BS with 5+ years of relevant experience, or MS with 3+ years in Computer Science, Mathematics, Engineering, or MIS.
• Deep expertise in Data Warehousing, SQL, ETL/ELT, dimensional modeling, and databases (e.g., mySQL, Postgres, HANA).
• Hands-on experience with cloud data warehouses (e.g., Snowflake, BigQuery), transformation tools (dbt), and cloud providers (Azure, AWS).
• Proficiency with ingestion tools (e.g., Fivetran, HVR, Airbyte), CICD (Gitlab, Kubernetes, Airflow), and data catalog tools (Datahub, Atlan).
• Ability to develop custom BI products using scripting languages (Python, Unix, SQL, Scala, Java); experience with Tableau and PowerBI is a plus.
• Strong understanding of business requirements in BI contexts and expertise in designing data models for actionable insights.
• Knowledge of data governance, data integrity, and data quality best practices, as well as agile development methodologies.
• Experience in writing comprehensive functional and technical documentation.

Who You Are:

• Methodical problem-solver with a passion for data, technology, and learning.
• Motivated team player with excellent interpersonal and organizational skills.
• Effective communicator, able to convey complex ideas to varied audiences.
• Adaptable and resilient, thriving in a global, diverse team or working autonomously.
• Innovative thinker who actively seeks opportunities to leverage emerging technologies.

The Team You'll Be A Part Of:

You will join the Business Applications team, a dynamic group focused on building and optimizing Synopsys' Enterprise Data Platform. Our team values collaboration, innovation, and continuous learning, working together to deliver data solutions that empower every facet of our global organization. We foster an inclusive environment where diverse perspectives drive creative problem-solving and technological advancement.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during 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.

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