Director, Enterprise Systems - Data Architecture

Job Summary

Skyworks Solutions, Inc. is seeking an experienced leader for our Data Architect team to spearhead the transformation of the data warehouse from on-prem to the Azure Cloud space. As the Director of Data Architecture, you will lead solution design, develop governance, and manage your global team’s deliverables and quality control. You and your team are responsible for managing data for Skyworks’ global organization.

Job Description

Duties and responsibilities will include, but not be limited to:
•    Direct and lead cross-functionally to implement the organization’s data architecture strategy, ensuring alignment with business goals.
•    Lead initiatives to improve the usability, scalability, efficiency, and security of data resources.
•    Work closely with cross-functional teams, stakeholders, and vendors to ensure smooth functioning of the enterprise data system.
•    Align data systems with broader organizational data solutions and analytics initiatives.
•    Enable the data science team by establishing robust data pipelines that ensure efficient, reliable, and scalable data flow, enabling advanced analytics and informed decision-making.
•    Drive the evolution and architecture for scalable and secure data platforms.
•    Design and develop robust database solutions to manage data efficiently.
•    Work closely with the Enterprise Architecture and Product teams to design and implement a modern data architecture.
•    Engage with strategic internal customers and ensure their future needs and vision are considered in solution design.
•    Oversee deployment of long-term strategic data products infusing key data and analytics services in applicable areas of the business and IT.
•    Design and own conceptual and logical data models, data flows, and integration patterns for the data lake, data lakehouse, and consumption data layers. Communicate build strategy to team ensuring accurate and quality outcomes delivered on time.
•    Provide guidance and architecture direction to the data engineering team to build data models which reflect how data will be consumed by functional teams like Finance, Supply Chain, and others. Develop the relationship between the different data sources. 
•    Develop and enforce data standards, procedures, and definitions for data governance ensuring understanding and adoption across the business landscape.
•    Ensure data accuracy and integrity through quality assurance processes.
•    Effectively manage global resources and implement a cost-effective geographic resource strategy.
 

Qualifications

•    Bachelor’s degree in computer science or closely related field; Master’s degree in related field is a plus
•    Minimum of 15 years of applicable experience with 10+ years of specific IT experience in managing solution designs.
•    5+ years of hands-on experience in lead roles architecting solutions at scale for cloud data platforms.
•    Hands-on experience architecting and building secure, scalable, and flexible enterprise data projects in Microsoft Azure.
•    Strong governance and management experience is required.
•    Effective communication skills (verbal, written, presentation/public speaking)
•    Strong analytical and problem-solving skills
•    Proficient at working in Agile project methodologies.
•    Good time management and organizational skills
•    Comfortable multitasking between multiple projects
•    Ability to work on challenging issues independently or in a team environment.
•    Ability to work effectively with international and multicultural teams and with all levels of management

Successful candidates will possess the following technical skills:
•    Expertise in building secure and scalable data ingestion, ETL/ELT solutions using Azure Databricks, Azure Data Factory, or similar tools.
•    Experience designing data structures and models for data lakes and cloud data lakehouse for downstream analytics applications.
•    Strong SQL skills and programming skills using Python and Pyspark
•    Comfortable working within an agile environment and collaborating with product owners in creating and managing technical backlog of stories and epics.
•    Experience with orchestration and automation of data pipelines to build DevOps model.
•    Strong communicator individually, in groups and in presentations with a vision for how cloud data platforms can enable a better future powered by data.
•    Experience with DevOps and DataOps (Terraform, Azure DevOps, Unity Catalog and Purview)

The following technical skills are considered a “plus”:

•    Experience in machine learning including ML Flow.
•    Experience in containerization (Docker), Kubernetes, and container deployment.
•    Knowledge of the semiconductor manufacturing industry
 

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