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Department Summary:

We are seeking a Data Design and Validation Engineer to support our AWS Cloud Data Warehouse (CDW) team. This role primarily focuses on designing efficient data models and schemas while also ensuring data correctness and validation to maintain quality and reliability. The ideal candidate will play a key role in building scalable, well-structured data solutions while embedding validation mechanisms to uphold data integrity.

Roles & Responsibilities:

Data & Schema Design Responsibilities (Primary Focus)

• Collaborate with business and technical teams to translate requirements into efficient data models and schemas optimized for AWS CDW.
• Design and implement data architecture solutions, ensuring scalability, performance, and security.
• Develop data integration frameworks that support seamless ingestion, transformation, and consumption of structured and semi-structured data.
• Establish and enforce best practices for schema management, including versioning, indexing, and partitioning strategies.
• Work with teams to improve data accessibility and usability, ensuring models are optimized for analytics, reporting, and operational use cases.
• Maintain technical documentation, including data dictionaries, schema diagrams, and modeling standards to ensure consistency and clarity.

Data Validation (Supporting Focus)

• Define data validation rules that help maintain consistency and accuracy across ingestion and transformation processes.
• Develop lightweight automated validation scripts that support early detection of data quality issues while integrating with development workflows.
• Write targeted test cases for critical data components, ensuring they can be integrated into CI/CD pipelines for ongoing validation.
• Conduct selective data audits and quality checks, ensuring schema changes and transformations do not introduce inconsistencies.
• Work closely with engineering teams to ensure data pipelines are designed with built-in validation mechanisms, minimizing rework and downstream issues.
• If this is a GL Requisition, please include this addendum: GL Addendum

Basic Qualifications:

• Minimum Experience: 8 years in Enterprise Data Warehouse technology, including data modeling, schema design, and testing.
• Bachelor's degree with eight years' related experience, or a master's degree with six years' related preferably with a technical major such as engineering, computer science, etc.
• Data Modeling Expertise: Strong experience in designing and managing relational database schemas and access, with SQL and PL/SQL proficiency.
• Testing Skills: Experience in ETL/ELT testing, data validation, and data quality assurance, including Python for automation and testing.
• AWS Knowledge: Familiarity with AWS CDW services (e.g., Redshift, Glue, EMR) and best practices for cloud data storage and integration.
• This position requires a minimum of 60% hybrid on-site.

Preferred Qualifications:

• Cloud Data Architecture Knowledge: Familiarity with cloud architecture principles, especially in AWS, with understanding of how to design scalable, cost-efficient, and secure data models.
• Performance Optimization: Proven skills in tuning SQL queries, database indexing, and caching mechanisms to optimize data retrieval and improve model performance.
• Documentation and Technical Writing: Strong documentation skills for creating clear, user-friendly technical documents, including test case repositories, design specs, and troubleshooting guides.
• Project Management Skills: Familiarity with project management tools (e.g., Jira, Asana) and methodologies, enabling effective prioritization, tracking, and reporting on testing and design tasks.
• Interpersonal Skills: Proven ability to collaborate effectively and actively participate in cross-training and team knowledge transfer.

This requisition requires the candidate to have a minimum of the following clearance(s):

None

This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):

None

Salary compensation range and midpoint:

$155,200 - $194,000 - $232,800 Annual

Work Location Type:

Hybrid

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Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.

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