Data Architect

Normalized Title: Data Engineer/Architect Scottsdale, AZ 85258: Temp to Hire | Open Descriptio nUpdated Notes from Heather on 6/23 • :This is a high-level position. We are looking for someone who is at an architectural level. They see the solution to a common problem, reach common ground with leadership, and execute 1. .Can't be a pure architect because they need to roll up their sleeves and do the work 1. .Tenure AWS (glue, spark, PI Spark 1. )Need to embrace AI and have not just dabbled in it. there already instilled in the workflow 1. .Produce data pipelines, partner with applications teams. Cross-functional experience 1. .Need to participate in BRD review and collaborate with the business 1. .Someone who loves to buil d Leads the design and implementation of Plexus' data infrastructure, driving the evolution of the company's data pipeline architecture to support advanced analytics and business insights. The position is responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The role is a self-directed position that is comfortable supporting the data needs of multiple teams, systems and products. Provides mentorship and guidance on best practices and software design principl es. Position Accountabili ties The following are essential accountabili ties: • Leads the creation and maintenance of optimal data pipeline architecture, ensures scalable, efficient, and secure data proces sing. • Assembles large, complex data sets that meet functional and non-functional business requirem ents. • Mentors and guides Data Engineer team members, promoting best practices and design princi ples. • Engages in advanced data modeling and architecture t asks. • Champions performance tuning, troubleshooting, and optimization of datasets to ensure efficient data deli very. • Identifies, designs, and implements internal process improvements: automates manual processes, optimizes data delivery, re-designs infrastructure for greater scalability, etc. • Designs and builds the infrastructure required for optimal extraction, transformation, and loading of data from a variety of data sources using SQL and big data technolo gies. • Builds analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance met rics. • Works with stakeholders including the Executive, Product, Data and Design teams to assist with data related technical issues and support their data infrastructure n eeds. • Works with data and analytics experts to strive for greater functionality in our data sys tems. • Responsible for managing complex queries for reporting and the application consump tion. • Troubleshoots and provides root cause analysis for database software and data integrity is sues. • Ability to work off-hours with occasional evenings, weekends, and/or holi days. Position Qualifi cationsMinimum Education: Bachelor’s degree in computer science or related expe rience.Preferred Education: Master’s degree in computer science or related expe rience.Minimum Experience: 7 years as a Data En gineer.Preferred Experience: 8 years as a Data En gineer.Required Certification/ Licen se: N/APreferred Certification/ License: AWS Data Engineer OR AWS Solution Architect certifications, Snowflake certific ations. Required Skills, Knowledge, and Exp erience: • Deep understanding of SQL and experience with multiple relational and NoSQL database so lutions. • Expertise in optimizing ETL/ELT pipelines and data m odeling. • Experience with version control systems and CI/CD pipeline deve lopment. • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for impr ovement. • Experience supporting and working with cross-functional teams in a dynamic envi ronment. • Demonstrated ability to lead projects and mentor junior team members. • Strong analytic skills related to working with unstructured d atasets. • Develop processes and procedures supporting data transformation, data structures, metadata, dependency identification and workload man agement. • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.Data Engineer III Created 6.10.2024, Revised 7.2 8.2025 3 • Strong project management and organizational skills. • Graduate Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitativ e field. • Experience with relational SQL (SQL Server) and NoSQL (Mongo) da • tabases.Physical Demands/Requirements: For the physical demands and working conditions please see the fin al page. Thanks & amp; Regard Suhail Ahmad |Sr.Technica l Recruiter Anvik Technologies|W ilmington,DEEmail: Suhail.Ahmad@ anviktek.com