Position Summary

The Data Engineer IV is a senior technical leader responsible for architecting and implementing scalable, secure, and high-performance data solutions across cloud and hybrid environments. This role emphasizes Azure Data Fabric, or similar cloud platforms like AWS, Databricks, etc. to enable unified data access, governance, and analytics across the enterprise. In addition to technical leadership, the Data Engineer IV plays a pivotal role in mentoring and developing the data engineering team. This includes guiding engineers through architectural decisions, conducting hands-on training sessions, leading code reviews, and fostering a collaborative learning environment. The role is expected to champion best practices, support career growth, and ensure the team remains aligned with evolving data strategies and technologies.

The Clayton Data Engineering team is responsible for data movement into the Enterprise Data Warehouse, Operational Data Stores, and between operational systems on-prem and on the public cloud such as AWS. The Data Engineer IV will be responsible for the development of advanced data infrastructure solutions that present information for decision making, sourcing data from a variety of sources within and outside of the Clayton organization. The Data Engineer IV will collaborate with and learn from motivated team members with various backgrounds and areas of expertise.

About The Team

The Clayton Data Engineering team works in an agile/scrum environment from a backlog of work requests generated by multiple Clayton business units and analytics teams. The team designs, develops, and implements database architecture and data pipeline processes for migration/transformation of data into the data warehouse for reporting and analytical use. The team monitors these processes, troubleshoots, and improves load performance.

Primary Responsibilities

Translate stakeholder requirements into technical specifications that can be used for development and break down technical complexities so that they can be easily understood by business units and end users.
Design, develop, and implement database architecture and data pipeline processes for migration/transformation of data into the data warehouse for reporting and analytical use.
Participate in team code reviews, sprint planning and retrospectives, script cut, and CI/CD build and deploy processes.

Primary Qualifications

Advanced Azure experience
Bachelor or master degree or equivalent experience in Computer Science or Information Management.
Demonstrates proficiency in a variety of the field’s concepts, practices, and procedures
Relies on experience and judgement to plan and accomplish goals
Enjoys working with people and collaborates effectively with team members
Excellent interpersonal, verbal, and written communication skills and the ability to interact with a diverse group of team members, including executives, managers, IT professionals, and subject matter experts
Great attitude towards learning new platforms and technology stack, and taking on new tasks
Lead customer meetings to review work projects, scope, requirements and completed work results

Desired Skills

Develop robust and scalable solutions that transform data into a useful format for analysis, enhance data flow, and enable users to consume and analyze data fast and easier
Take a lead role in the design, development, test, implementation, and maintenance of automated data pipeline features and data processing jobs using ETL tools such as SSIS, StarQuest, AWS Glue, AWS Migration Service, or Azure Data Factory
Design, implement, and maintain flattened, relational, and dimensional data models • Perform root cause analysis on external and internal processes and data to identify opportunities for improvement • Provide “how to” documentation for Data Engineering processes and procedures as well as documentation of pipelines and systems
Has strong analytical and problem-solving skills with ability to represent complex algorithms in software
Ability to translate stakeholder requirements into technical specifications that can be used for development and break down technical complexities so that they can be easily understood by business units and end users.
Experience in JIRA and Agile Methodology preferred, but not required
10+ years of experience supporting large scale, mission-critical data pipelines using ETL tools such as SSIS, AWS Glue, Azure Data Factory, or StarQuest
10+ years of experience with Microsoft SQL Server or Postgres database platforms and in designing, implementing, and maintaining data models
10+ years SQL experience and successful completion of a technical SQL assessment in the interview process
Experience in one programming language such as C#, Python, Scala, Java, and R
Experience with cloud infrastructure such as AWS, Azure, GCP
Experience in using a source control tool such as .git
Have a sound understanding of data modeling, assessing quality of data, and data cleansing principles and techniques
Mentor new Data Engineering team members

Why Clayton Homes?

Founded in 1956, Clayton is committed to opening doors to a better life through homeownership. Clayton is a leading single-family, values-driven home builder dedicated to attainable housing, sustainable practices, and creating a world-class experience for customers and team members. Through its family of brands, Clayton builds, sells, finances, and insures traditional site-built and off-site built homes. The company’s portfolio includes a comprehensive range of site-built, modern manufactured, Tiny, CrossMod® and modular housing. The home office is located in the Knoxville, Tennessee area. For more information, visit claytonhomes.com.

Competitive benefits including 401(k) with 100% company match of the first 4%; medical, dental and vision plans; paid time off days and holidays
Quarterly bonus program
Wellness programs that focus on emotional, social, spiritual, intellectual, environmental, physical, and financial well-being
Onsite fitness facility with full gym, workout classes, volleyball and basketball, ping-pong, and disc golf course
Paid Time Off for Volunteer work.

Clayton

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