Data and Integration Architect

• Define and implement architecture standards for data and software pipelines, modeling, and integration, covering both new and legacy systems
• Develop and maintain data ingestion and transformation pipelines using BigQuery, Cloud Storage, dbt, and Prefect
• Implement DevOps and DevSecOps practices, including CI/CD, version control, code reviews, and secrets management
• Apply data governance and security controls, including IAM, Policy Tags, Dataplex, and metadata management
• Diagnose and resolve failures, performance issues, and technical debt
• Plan sprints and prioritize deliverables in collaboration with the team and Product Owner
• Prototype and integrate Artificial Intelligence (AI) and Machine Learning solutions into the data platform
• Provide technical mentoring and support the development of less experienced professionals

• Bachelor's degree in a Technology-related field
• Graduate degree; or, in the absence of a graduate degree, 6 valid certifications
• ITIL Foundation v3 or higher certification, or documented training
• Proven professional experience in the relevant field
• Advanced SQL proficiency, including query optimization
• Experience with Python
• Experience with Google BigQuery
• Experience with dbt
• Experience with Git/GitHub and CI/CD pipelines
• Experience with data modeling
• Experience with CDC (Change Data Capture) and streaming data processing using Debezium, Kafka, or Redpanda (preferred)
• Knowledge of the Infisical tool (preferred)
• For positions serving government-sector clients, formal proof of professional experience in Information Technology through an employment record booklet (CTPS) or formal service contracts

• Eligibility for professionals with disabilities, as well as gender and racial/ethnic equity initiatives
• Culture of innovation, curiosity, collaboration, and development
• Equal career opportunities through diversity and inclusion