Data Quality Architect

WHO WE ARE: Founded in 2007, DTI (Diversified Technology, Inc.) is a successful African American owned IT Consulting/Staffing firm based in Chicago's Loop. WHAT WE DO: We focus on providing delivery, staffing, and supported services such as enterprise integration/implementations including, but not limited to, CRM, EAM, ERP, PMO, and QA. We service clients in SLED (state/local gov't & education), financial services, fortune, public utility, as well as regularly partnering with Big 4 SI partners. Are you a Data Quality Architect looking for your next contract? If so, we want to speak to you! DTI has an immediate need for a Data Quality Architect for a 10+ Months contract Must work on our W2 Job Title: Data Quality Architect Location: Remote Duration: 10+ Months contract Device (remote/Client Laptop/Client Laptop): Client issued laptop Description: The services You will provide the client project team: As a Data Quality Architect Contractor, you will ensure the accuracy, consistency, and reliability of data across various systems and processes. Develop and implement data quality standards, policies, and procedures. Conduct data quality assessments and identify areas for improvement. Design and implement data cleansing and validation processes to maintain data integrity. Collaborate with stakeholders to ensure data quality requirements are met and maintained. Monitor and report on data quality metrics, providing insights and recommendations for continuous improvement. Primary Skill Required for the Role: SPARK Level Required for Primary Skill: Advanced (6-9 years experience) Additional Details for Role:

• This position emphasizes constructing Python- and SQL-based pipelines leveraging Spark/Databricks, modeling versioned action and reference data within Delta Lake, and integrating both batch and near real-time data flows with backend systems and decision engines through Kafka or comparable event streaming technologies.
• The successful candidate will possess extensive experience with cloud-based data platforms (such as

AWS, Azure, or GCP), data orchestration solutions (including Airflow or Prefect), and best practices in data quality and observability. Familiarity with schema evolution, backward compatibility, and governance for shared data products is essential. This role requires close collaboration with backend, product, and analytics teams to ensure action data is accurate, well-governed, and scalable.

• Experience working within regulated or healthcare environments is considered an asset.

Key Responsibilities:

• Develop and maintain resilient data pipelines across state, action, decision, and analytics domains using Python, SQL, Spark, and Databricks.
• Design both batch and streaming workflows to address near-real-time and scheduled data processing needs.
• Implement and manage orchestration frameworks (e.g., Airflow, Prefect) to support data quality, reliability, and scalability.

Pay rate: $36.11/hr depending on experience Please click on the link below for our company benefits https://docs.google.com/document/d/1q2mHf0U1akaC1ZKC65-VyyG3FrKBGNCahx3WpS2mj7M/edit?usp=sharing DTI is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, gender identity, sexual orientation, national origin, ancestry, age, disability, marital status, veteran status, or any other protected characteristic under Illinois state or federal law. All qualified applicants are encouraged to apply, and employment decisions are based solely on merit, qualifications, and business needs.