Data Engineer Leader

Key Skills

Apache Cassandra, Cloud computing, Data Analytics, Data Biuld Tool - dbt, Data Discovery, Data pipelines, Design, Effective communication skills, ETL frameworks, ETL/ELT technologies, Leadership, MongoDB, MySQL, Oracle, PowerBI, Python Programming, Snowflake, SQL, SQL Server, Tableau

Job Description

Requirements

The Synopsys Central Engineering team is tasked to digitize Synopsys product development activities. We will achieve it by identifying areas of improvement and correlating various aspects of the product development, and providing all levels of management visibility for action. The domain areas we are focused on relate to Quality, Productivity, and Operational Efficiency,

We are looking for an experienced Data Engineer who will contribute to building the next-generation Data Platform. As a Data Engineer, you will be working on modern, large-scale big data technologies to build data platforms on Snowflake and toolset. The goal is to create an effective and efficient data pipeline to facilitate data exchange between various applications.

In this role, you will be partnering with data providers to enable them to make available volumes of data and integrate in a common data platform. You will also interact with Data analysts to transform data into information and insights driving data-based strategic outcomes. This is a hands-on role, and you are joining the team near the beginning of our journey where you can help shape our way to manage big data.

Responsibilities:

• Drive strategic goal of data consolidation for the whole of engineering to enable cross-domain analytics.
• Own and establish Center of Excellence for Data Engineering practices by defining architecture, rules, and setting guardrails for data processing capabilities. This includes data Ingestion, quality control, transformation, and high availability.
• Incorporate state-of-the-art practices in Data Engineering to scale the value we deliver in transforming data into insights.
• Identify, design and implement internal process improvements, including data infrastructure, for scalability, optimizing data delivery, and automating manual processes.
• Leverage your experience and proficiency in all aspects of data management, data cataloging, analytics solution architecture & design, and implementation roadmap.
• Build data cataloging infrastructure and metadata platform to enable data discovery, data observability, and federated governance.
• Drive cross-team projects to integrate data from numerous separate sources into a unified data environment.

Expertise & Skills:

• Must be proficient in ELT (Extract-Load-Transform) process with hands-on experience.
• Must be detailed-oriented with a passion for data accuracy and reliable solution development.
• Subject Matter Resource in designing and building high performance data pipelines to move and process data using modern tools.
• Experience in Data Engineering Architecture and Design.
• Subject Matter Resource in SQL (advanced).
• Experience in at least one prominent programming language, such as Python (preferred), or Java.
• The ability to work with other team members, drive projects to completion, and work autonomously.
• Excellent written and verbal communication, work autonomously, and have proven organizational and planning skills.

We also value:

• Prior experience in leading Data or Analytics teams.
• Experience in database design and management, such as MS SQL Server, Oracle Database, MySQL Database, Cassandra, MongoDB, etc
• Familiarity and experience in Snowflake toolset is a proven asset for this position.
• Experience with Power BI and/or Tableau or other visualization tools.
• Experience with HVR and Fivetran a plus.
• Experience with dbt Cloud a plus.

Requirements:

• Bachelor's or master's Degree in a quantitative field
• > 5-10 years of relevant experience
• 5+ years’ experience engineering and operationalizing data pipelines with large and complex datasets
• 3+ years’ experience working with Cloud technologies such as Snowflake

At Synopsys, we’re at the heart of the innovations that change the way we work and play. Self-driving cars. Artificial Intelligence. The cloud. 5G. The Internet of Things. These breakthroughs are ushering in the Era of Smart Everything. And we’re powering it all with the world’s most advanced technologies for chip design and software security. If you share our passion for innovation, we want to meet you.

Stay Connected: Join our Talent Community

The hourly range across the U.S. for this role is between $117,000 - $204,000. In addition, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a comparative total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can provide more specific details on the total rewards package upon request.

Inclusion and Diversity are important to us. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, military veteran status, or disability.

Job Category

Engineering

Country

United States

Job Subcategory

R&D Engineering

Hire Type

Employee

Base Salary Range

$117,000 - $204,000