Senior Platform Data Engineer II

Summary

Join Wrapbook, a leading production payroll and accounting platform, as a Platform Data Engineer! This remote position (USA/Canada) focuses on scaling and optimizing our data infrastructure. You will enhance data pipelines, make key architectural decisions, and ensure seamless data movement. You'll build robust data flow and governance systems, implement modern tools, and design scalable architectures. This role requires collaboration with various teams and a passion for building scalable systems. Wrapbook offers competitive salaries, benefits, and a creative work environment.

Requirements

• Hands-on experience deploying production-quality code in fast-paced environments
• Proficiency in Python (preferred), Java, or Scala for data processing and pipeline development
• Ability to thrive in fast-changing, ambiguous situations, balancing immediate needs with long-term goals
• Experience with data pipeline tools, such as Airbyte for ingestion and dbt for transformation/modeling
• Hands-on expertise with container orchestration tools, such as Kubernetes, and cloud-native environments (e.g., AWS)
• Proficiency with workflow automation and orchestration tools, like Dagster or Apache Airflow
• Deep familiarity with PostgreSQL, including administration, tuning, and provisioning in cloud platforms (e.g., AWS)
• Strong experience in ETL/ELT pipelines and data modeling, including raw vs. curated datasets, star schemas, and incremental loads
• Advanced SQL skills, with expertise in relational databases and data warehouses (especially Snowflake)
• Knowledge of best practices in data governance and security
• Excellent problem-solving skills and ability to troubleshoot complex issues
• Strong communication skills to collaborate with cross-functional teams

Responsibilities

• Own and optimize data pipeline infrastructure to ensure reliable, efficient, and scalable data flows from diverse sources
• Contribute to the development of the data engineering roadmap in collaboration with Platform leadership and cross-functional stakeholders
• Design, build, and maintain scalable ETL/ELT pipelines to transform raw data into curated datasets within AWS S3 and Snowflake
• Implement and standardize data governance practices, ensuring data quality, lineage tracking, schema consistency, and compliance across pipelines
• Collaborate with analytics and engineering teams to manage backfills, resolve schema drift, and implement best practices for incremental loads
• Lead the design and implementation of a layered data architecture to improve scalability, governance, and self-service analytics
• Develop and implement data contracts by collaborating across teams to align business goals with technical needs
• Evaluate, plan, and execute new data tools, infrastructure, and system expansions to support company growth and evolving analytics needs
• Deliver scalable, efficient, and maintainable code by applying architectural best practices and adhering to data engineering standards
• Maintain SLAs for data freshness, accuracy, and availability by defining clear metrics that foster stakeholder trust and ensure consistent, reliable data delivery
• Collaborate with the Data Analytics team to facilitate the delivery of strategic initiatives

Benefits

• Unlimited Paid Time Off
• Work from anywhere in Canada and USA
• Health and Dental benefits
• Up to $1500 towards IT set up for your home
• Up to 2% matching RRSP / 401K
• Learning and Development opportunities
• Up to $50 USD/ $66.50 CAD towards Internet/Cell phone service