Principal Data Engineer

Skyworks • Irvine, California, United States • $126.50k - $241.70k / year • 1m ago

If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.

At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.

Requisition ID: 76055

Description

We are seeking a highly experienced Principal Data Engineer to lead the design and implementation of scalable, high-performance data solutions. This role will focus on cloud-native architectures using Azure, Databricks, Kafka, Spark, and other modern data technologies. You will play a key role in shaping our data strategy, mentoring engineering teams, and driving innovation across our data platforms.

Key Responsibilities

Architect and implement scalable data pipelines using Apache Spark, Databricks, and Azure Data Factory.
Lead the development of real-time streaming solutions using Apache Kafka.
Design and optimize ETL/ELT workflows for structured and unstructured data.
Build and maintain distributed data systems using Cassandra, Delta Lake, and other modern data stores.
Utilize Delta Live Tables (DLT) to create reliable, maintainable, and testable batch and streaming pipelines.
Integrate Databricks with Azure Machine Learning, Azure Synapse, and other cloud services.
Implement CI/CD pipelines using Azure DevOps, Terraform.
Collaborate with data scientists to deploy and manage ML models using MLflow.
Ensure data quality, governance, and security across all engineering efforts.
Troubleshoot and resolve issues in data models, workflows, and infrastructure.
Design and maintain data models for cloud data warehouses such as Snowflake or Databricks.
Apply advanced techniques like data partitioning, indexing, and compression to optimize performance and storage.
Develop disaster recovery plans and backup strategies to ensure business continuity.
Mentor junior engineers and foster a culture of technical excellence and innovation.
Stay current with emerging technologies and recommend strategic adoption where appropriate.
Collaborate with global Agile teams to deliver high-quality solutions.

Qualificiations

Bachelor's degree and 12+ years of experience in data engineering, with at least 3 years in a principal or lead role.
Expertise in Azure, Databricks, Apache Spark, Kafka, and Cassandra.
Strong programming skills in Python, SQL, and Scala.
Experience with distributed systems, data modeling, and data warehousing.
Familiarity with machine learning pipelines, MLOps, and cloud-native architectures.
Proven ability to lead cross-functional teams and deliver complex data solutions.
Excellent communication, problem-solving, and leadership skills.
Exposure to big data tools and distributed computing.
Certifications in Azure or Databricks are a plus.

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The typical base pay range for this role across the U.S. is currently USD $126,500 - $241,700 per year. Starting base pay will depend on relevant experience and skills, training and education, business needs, market demands, the ultimate job duties and requirements, and work location. Skyworks has different base pay ranges for different work locations in the U.S. Benefits include access to healthcare benefits (including a premium-free medical plan option), a 401(k) plan and company match, an employee stock purchase plan, paid time off (including vacation, sick/wellness, parental leave), among others. Employees are eligible to participate in an incentive plan, and certain roles are also eligible for additional awards, including recognition and stock. These incentives and awards are based on individual and/or company performance.

Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.