Director of Data Engineering & Analytics

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to 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 develop high-performance silicon chips and software solutions that accelerate innovation. Join us to transform the future through continuous technological advancement.

You are an accomplished data engineering leader with a passion for building modern, scalable, and reliable data platforms that enable business growth and data-driven decision-making. With deep expertise in data architecture, analytics engineering, and enterprise data ecosystems, you excel at translating complex business requirements into strategic technology solutions.

You thrive in fast-paced environments where you can balance people leadership, technical strategy, operational excellence, and stakeholder engagement. You are equally comfortable defining a long-term data roadmap, driving large-scale platform initiatives, and mentoring engineering teams to deliver exceptional results.

You understand that great data platforms are built on strong architecture, governance, quality standards, and collaboration. Most importantly, you are motivated by creating impactful data capabilities that empower organizations to make smarter, faster decisions.

• Lead, mentor, and develop a team of data architects, analytics engineers, and data engineers responsible for Synopsys' enterprise data platform.
• Partner with business and technical stakeholders to gather requirements, align priorities, and develop a strategic roadmap for data and analytics capabilities.
• Prioritize team efforts across platform enhancements, operational support, technical debt reduction, and new project delivery.
• Drive the successful delivery of data engineering projects from planning and design through implementation and production support.
• Define and enforce standards for data architecture, data modeling, data quality, governance, documentation, and platform operations.
• Establish strong delivery management practices including resource planning, execution tracking, stakeholder communication, and risk management.
• Oversee the design, implementation, and optimization of scalable data architectures, ELT pipelines, and enterprise analytics platforms.
• Ensure the reliability, availability, scalability, security, and performance of enterprise data platforms.
• Collaborate across engineering, analytics, product, and business teams to enable effective data-driven decision making.
• Promote modern data engineering best practices and continuous process improvement across the organization.

• Drive the strategic evolution of Synopsys' enterprise data and analytics capabilities.
• Enable business leaders to access trusted, high-quality data for informed decision-making.
• Improve organizational efficiency through scalable, reliable, and well-governed data solutions.
• Establish engineering standards and best practices that strengthen operational excellence.
• Build and develop high-performing teams that deliver measurable business impact.
• Position data as a strategic asset that supports innovation, growth, and digital transformation initiatives.

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical discipline; advanced degree preferred.
• 10+ years of experience in Data Warehousing, Data Engineering, Analytics Engineering, or related disciplines.
• 5+ years of people management experience leading technical teams.
• Advanced hands-on expertise with:
  • Snowflake
  • dbt
  • SQL
  • Power BI
  • Data ingestion platforms such as Fivetran
• Deep understanding of:
  • Data architecture
  • ELT/ETL pipelines
  • Data modeling methodologies
  • Data quality frameworks
  • Enterprise-scale platform scalability and performance
• Experience supporting large-scale analytics and business intelligence environments.
• Proven experience formalizing data engineering standards, governance frameworks, operating models, and best practices.
• Strong project, program, and stakeholder management capabilities.
• Excellent communication and relationship-building skills with both technical and business audiences.

• Strategic thinker with the ability to connect business priorities to technology solutions.
• Strong leader who empowers, coaches, and develops high-performing teams.
• Influential communicator capable of engaging effectively across all levels of the organization.
• Collaborative partner who fosters strong cross-functional relationships.
• Results-oriented and accountable with a focus on operational excellence and execution.
• Passionate about innovation, continuous improvement, and data-driven decision making.
• Adaptable and resilient, thriving in dynamic and evolving environments.

You will join a dynamic team of data architects, analytics engineers, and data platform professionals responsible for enabling enterprise-wide analytics and business intelligence capabilities. The team partners closely with business leaders, engineering organizations, and analytics stakeholders to deliver scalable, trusted, and impactful data solutions that support Synopsys' growth and innovation objectives.

We offer a comprehensive range of health, wellness, and financial benefits to support your personal and professional success. Our total rewards package includes both monetary and non-monetary benefits designed to help employees thrive. Your recruiter will provide additional details regarding compensation and benefits throughout the hiring process.

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