# Director of Data Engineering & Analytics

**Company**: Synopsys
**Work arrangement**: remote
**Experience**: executive
**Job type**: full-time
**Salary**: $184000-$276000
**Category**: Data Science
**Industry**: Technology
**Ticker**: SNPS
**Wikidata**: https://www.wikidata.org/wiki/Q2303478

**Apply**: https://careers.synopsys.com/job/united-states/director-of-data-engineering-and-analytics/44408/97834660032?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7497455e-8aa

## Description

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.

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.

## Responsibilities

- 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.

## The Impact You Will Have

- 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.

## 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

- 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.

## Skills

### Required
- Snowflake
- dbt
- SQL
- Power BI
- Fivetran
- Data architecture
- ELT/ETL pipelines
- Data modeling methodologies
- Data quality frameworks

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Source: [Apply at careers.synopsys.com](https://careers.synopsys.com/job/united-states/director-of-data-engineering-and-analytics/44408/97834660032?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)