In short
Synopsys is seeking an accomplished Director of Data Engineering & Analytics to lead the development of modern, scalable data platforms. This role involves people leadership, technical strategy, and driving data-driven decision-making across the enterprise, impacting innovations in AI, cloud computing, and semiconductor design.
Responsibilities
- Lead, mentor, and develop a team of data architects, analytics engineers, and data engineers.
- Partner with stakeholders to gather requirements and develop a strategic roadmap for data and analytics.
- 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 through 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, and stakeholder communication.
- 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.
- Promote modern data engineering best practices and continuous process improvement.
Requirements
- 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, and data ingestion platforms such as Fivetran.
- Deep understanding of data architecture, ELT/ETL pipelines, data modeling methodologies, data quality frameworks, and 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.
Desired Qualifications
- 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.
Benefits
- Comprehensive range of health, wellness, and financial benefits.
- Total rewards package includes both monetary and non-monetary benefits.
- Potential eligibility for annual bonus, equity, and other discretionary bonuses.
- Comprehensive health, wellness, and financial benefits as part of a competitive total rewards package.
#Data Engineering#Analytics#SynopsysCareers#DirectorJobs
Company
Synopsys Inc
Job Posted
2 weeks ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Director
Locations
United States
Qualification
Bachelor, Master, Doctoral
Applicants
Be an early applicant