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Senior Data Architect at Prometric. Location Information: Virtual. About Us: Prometric is a leading provider of technology-enabled testing and assessment solutions to many of the world’s most recognized licensing and certification organizations, academic institutions, and government agencies. We support more than 7 million test takers annually at our testing locations in 180 countries around the world. With over three decades of experience working with clients of all sizes across a multitude of industry sectors, our mission is to design and deliver the highest quality and most innovative testing solutions anytime, anywhere.. JOB TITLE: Senior Data Architect. REPORTS TO: VP. DEPARTMENT: EdPower Sales. LOCATION: U.S.A.. JOB OVERVIEW. We are seeking a highly skilled and experienced Senior Data Engineer to design, build, and optimize scalable data . pipelines. and architecture. The ideal candidate will play a key role in managing our growing data infrastructure, enabling advanced analytics, machine learning, and business intelligence initiatives across the organization. This role requires strong technical skills, a problem-solving mindset, and a deep understanding of modern data platforms and tools. Salary for this role is starting at $140,000.. COMPANY BACKGROUND. Prometric (www.prometric.com) is a trusted test development and delivery provider to more than 300 organizations worldwide. Prometric serves as an industry gatekeeper, ensuring that people legitimately earn the credentials they seek to achieve, and thereby guaranteeing a fair testing experience for all who come through our doors.. RESPONSIBILITIES. • Design, develop, and maintain robust data pipelines and . ETL. processes.. • Work closely with data scientists, analysts, and product teams to define data requirements and implement scalable data models.. • Optimize data architecture for performance, reliability, and cost-efficiency.. • Lead initiatives around data quality, governance, and security.. • Integrate data from multiple sources (internal and external) into the centralized data warehouse/lake.. • Collaborate on infrastructure decisions related to cloud data platforms (e.g., AWS, GCP, Azure).. • Mentor junior engineers and enforce best practices in code quality and architecture.. • Participate in performance tuning, automation, and continuous integration for data systems.. QUALIFICATION REQUIREMENTS. EDUCATION. • BA/BS required; MBA in Computer Science, engineering, or related field is preferred. EXPERIENCE. • 5+ years of experience in data engineering or a similar role. • Expertise in Python, SQL, and one or more modern ETL tools (e.g., Apache Airflow, dbt).. • Experience with cloud-based data platforms such as AWS Redshift, Snowflake, Google BigQuery, or Azure Synapse.. • Strong understanding of data warehousing, data lakes, and distributed systems.. • Experience with real-time data streaming tools such as Kafka or Spark Streaming is a plus.. • Familiarity with dashboard/reporting tools like Power BI, Tableau, or Zoho Analytics.. • Solid communication skills and ability to work independently and cross-functionally.. • Experience with CI/CD, Git, and agile development practices.. SKILLS. • Exposure to machine learning pipelines and model deployment.. • Experience with infrastructure-as-code tools (Terraform, CloudFormation).. • Familiarity with data privacy and compliance standards (e.g., GDPR, HIPAA).. • Certifications in cloud platforms (AWS, GCP, Azure) are a plus.. PHYSICAL JOB REQUIREMENTS. • N/A. Prometric is an equal opportunity employer: disability/veteran. Prometric is an Equal Employment/Affirmative Action employer. We do not discriminate in hiring based on sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state, and local law..