Senior Principal Data Architect

This is a fully remote position, open to applicants in Canada.

📋 Description

• Develop and uphold the enterprise data architecture strategy for data acquisition, archive recovery, and database implementation.

• Create scalable and secure data models, data flows, and integration patterns within the AWS and Databricks Lakehouse ecosystem.

• Align the data architecture with both business goals and IT strategies.

• Establish frameworks for data governance and best practices.

• Ensure data quality, consistency, regulatory compliance, metadata management, and thorough documentation.

• Convey architecture strategies, decisions, and best practices to stakeholders effectively.

• Provide technical leadership and mentorship to data teams.

• Oversee and assess contractors and third-party resources.

• Evaluate and suggest data technologies, tools, and platforms.

• Utilize generative AI tools for code generation, data modeling, and documentation purposes.

• Direct data architecture initiatives in large-scale projects and digital transformation efforts.

• Personally design and construct data models and pipelines to establish technical standards.

• Ensure timely delivery of data solutions within scope and to quality standards.

⛳️ Requirements

• Over 10 years of experience in data engineering or data architecture.

• A Bachelor's degree in computer science, Information Technology, or a related discipline.

• Experience in data profiling, sourcing, cleansing, standardization, transformation, rationalization, linking, and matching.

• Demonstrated experience in designing and implementing data models and warehouses using dimensional/star schema, Data Vault, or Kimball methodologies.

• Comprehensive understanding of database structures with experience in various databases and data warehouse technologies.

• Familiarity with data mining and segmentation techniques.

• Proficient in SQL and Python programming languages.

• Hands-on experience with Databricks Workflows, AWS Glue, and/or Apache Airflow.

• Proven experience in building data models and dashboards utilizing Databricks SQL and/or Power BI.

• Extensive practical experience with the Databricks Lakehouse Platform, Delta Lake, Unity Catalog, and Databricks SQL.

• In-depth knowledge of AWS services such as S3, EMR, EKS, Glue, Redshift, and Lambda.

• Capability to collaborate with remote teams across multiple time zones and within an Agile framework.

• Ability to mentor data engineers at varying levels of experience.

• Proactive utilization of generative AI tools for data modeling, coding, and documentation.

• Proficient in communicating project updates, challenges, and deliverables to management and stakeholders.

🏝️ Benefits

• Open PTO policy.

• Days of Disconnect: one collective day off each quarter.

• Parental & Pawternity Leave.

• Quarterly Best Life fitness reimbursement.

• Comprehensive Medical/Dental/Vision coverage.

• Employee Assistance Program (EAP).

• Calm App subscription available for the employee and up to 4 dependents over the age of 16.

• Bonuses, commissions, equity, or other incentive programs may be available where applicable.

• Continuous training and professional development opportunities.