Data Systems Architect / Data Engineer
Responsible for investigating existing systems and providing architectural guidance, technological recommendations, and transitions strategies for the MACOM engineering data system and manufacturing execution system.
The Data Systems Architect will improve and maintain large-scale data solutions that make use of on-premises databases and cloud solutions which organize disparate real time data streams from globally deployed test systems for future analysis.
This work is the foundation for data access and querying according to the business needs. Must be passionate about data and have a strong understanding of the related initiatives such as data governance, quality, security, and processes.
Must have a hands-on approach to database warehouse and cloud data lake technologies. A strong understand of the benefits and tradeoffs of technical stack and design decisions in support of manufacturing and engineering stakeholders is important.
Will work with a highly collaborative team focused on building and supporting systems and solutions from the ground up.
Responsibilities :
- Individual in this role will be working with the data team to improve data accessibility within the organization
- Support various teams across MACOM with their data needs
- Develop and deploy data pipeline to collect data from various sources and store in cloud
- Assist in development of tools that allow users to access data stored in cloud and on-prem databases
- Collaborate with other members of the team to enable creative problem solving.
Job Qualifications :
- 3+ years’ experience in a data engineering, architecture, or data analysis role
- Bachelor’s Degree in Computer Science or related field required (Master’s degree preferred)
- Proven ability to work in distributed systems
- Must be able to develop creative solutions to problems
- Strong analytical and creative thinking skills for effective and timely decision-making.
- Strong communication skills oral, written, and presentation.
- Strong inter-personal skills and ability to motivate team members.
- Ability to make work fun and contribute to the collaborative environment of the team
- Work Authorization : Because this position will work with ITAR restricted data, qualified candidates must be a U.S. Citizen or U.S. Permanent Resident.
Preferred Skills :
- Hands on experience with AWS platforms and tools (including but not limited to S3, QuickSight, Lambda, Athena, SAM)
- Fluent in SQL and at scripting languages (Python, Java preferred)
- Experience with building data pipeline and ETL
- Strong understanding of relational and no-SQL databases
- Knowledge of data ingestion using spark for supporting various file types like Json, Xml, Csv and databases
- Able to architect high availability, high performance systems with zero risk of data loss
- Knowledge of development methodologies like Agile, Scrum, DevOps and test-driven development.
- Knowledge of API, Apache Spark, Grafana, Loki, Git, Docker, Linux
- Experience uniting disparate legacy data sources into a unified platform for analysis and operations
- AWS certifications a plus
- Data Engineer certification a plus
- Experience in the semiconductor industry is a plus