Principal Data Architect
7 days ago
At Q2, we seek an accomplished Principal Data Architect to spearhead the development and maintenance of Cloud infrastructure for data analytic products and core data transformation jobs.
The Data Engineering team collaborates closely with data scientists and other product engineering teams. Our goal is to empower Data Scientists to focus on creating data products through discovery and development of transformation jobs and machine-learning models, while ensuring their swift deployment to production. We support the data and machine-learning aspects for multiple Q2 products, including Online Banking, PrecisionLender, and Fraud Prevention.
Key Responsibilities:
- Define and document software architecture for new and existing products, encompassing system architecture, data architecture, and application architecture.
- Work with engineers to design and implement technical solutions, guaranteeing they meet performance, scalability, and security requirements.
- Develop high-quality, efficient, and maintainable code, often focusing on solving complex technical challenges.
- Lead or actively participate in code reviews to ensure code quality, consistency, and adherence to coding standards.
- Identify and address performance bottlenecks and optimize code and systems for improved speed and efficiency.
- Maintain comprehensive technical documentation, including system architecture, code comments, and documentation to aid in understanding and maintaining the software.
- Expert-level knowledge of Snowflake is mandatory; familiarity with other data warehouse products is a plus.
- Collaborate with cross-functional teams, such as product managers, designers, and quality assurance, to deliver software products that meet business requirements.
- Ensure software is developed with security best practices in mind, addressing vulnerabilities, and protecting user data.
- Effectively communicate technical concepts and project status to non-technical stakeholders.
Required Skills and Qualifications:
- Bachelor's degree in Computer Science, Information Systems, or equivalent experience.
- 12+ years of related professional experience.
- Advanced knowledge in multiple areas of data transformations, data pipelines, workflow automation, and scheduling systems.
- Experience with several technologies used at Q2: Cloud Providers (AWS, Azure), Data Pipelines (Apache Airflow, dbt), Data Tools (Pyspark, Snowpark, AWS Glue, Pandas, Databricks, SageMaker), Databases (Snowflake, SqlServer, Postgresql), Containerization (Kubernetes, Docker), Languages (Python, C#, Golang, Bash, SQL), CI/CD (GitLab, Azure DevOps), SCM (Git, Github, GitLab).
We offer a competitive salary range of $180,000 - $250,000 per annum, depending on experience.
Benefits:
- Hybrid Work Opportunities
- Flexible Time Off
- Career Development & Mentoring Programs
- Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents
- Community Volunteering & Company Philanthropy Programs
- Employee Peer Recognition Programs – "You Earned it"
Learn more about our benefits and company culture by visiting our website.
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