Director – Data Engineering & Data Science
Posted on 12/22/2023
INACTIVE
Procurify

51-200 employees

Intelligent spend management and procurement solution
Company Overview
Procurify stands out as a leader in Intelligent Spend Management, providing organizations with unparalleled visibility and control over their business expenses, which has led to significant time and cost savings. Their robust procure-to-pay solution, which integrates seamlessly with major ERP accounting systems, manages over US$30 billion of organizational spend, demonstrating their trustworthiness and industry leadership. The company's culture is centered around providing value to its customers, as evidenced by its recognition as the #1 Purchasing Leader by G2.
Data & Analytics

Company Stage

Series C

Total Funding

$82.2M

Founded

2013

Headquarters

Vancouver, Canada

Growth & Insights
Headcount

6 month growth

0%

1 year growth

-3%

2 year growth

33%
Locations
Remote
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Microsoft Azure
MySQL
NoSQL
Data Science
Apache Spark
SQL
Postgres
Tableau
AWS
Apache Hive
MongoDB
SCRUM
Development Operations (DevOps)
CategoriesNew
Data & Analytics
DevOps & Infrastructure
Requirements
  • 3+ years in a Software Leadership role (Manager, Sr. Manager, Director)
  • 3-5+ years experience in a Data Engineer role
  • Expertise with Data Lakehouse tech (Databricks, Photon, Apache Spark, Hive, Parquet) and Visualization Platforms (Tableau, Thoughtspot)
  • Hands-on Experience in cloud technologies (e.g., AWS, Azure, Google Cloud)
  • Strong understanding of data governance, security, and privacy principles
  • Advanced SQL knowledge and strong experience working with relational databases (PostgreSQL, MySQL) and NoSQL databases (dynamoDB, MongoDB)
  • Strong understanding of Data Science concepts in Machine Learning and Generative AI
  • Familiar with DevOps principles such as design for manageability and root cause analysis
  • Familiar working within leading software development best practices such as scrum/kanban, CI/CD, and test automation
Responsibilities
  • Lead, develop and hire a team of data engineers and data scientists providing them coaching, mentoring and technical guidance
  • Design a scalable data-mesh architecture that supports existing data products and our business domains
  • Hands on development to help design, create, evolve, and maintain scalable and efficient data pipelines, model deployment and monitoring frameworks
  • Partner across Product and Engineering teams on new data requirements to create product capabilities that fundamentally rely on data models
  • Identify, design, and implement internal process improvements, including automation for data quality control and data validation, improved data delivery, and scalability
  • Build complex, reusable architectures for services and systems using well-accepted design patterns that allow for iterative, autonomous development and future scaling
Desired Qualifications
  • Comfortable leading by example and using influence to drive collaboration, documentation, and knowledge sharing across teams
  • Actively mentoring and leveling up developers within the team you’re on and extending across engineering teams