Manager, RevOps Data Engineering

Description

• Lead and develop a team of data engineers and visualization specialists who ensure that the data flows smoothly from operational systems to data warehouses and are accessible for analysis, often using tools like SQL, Python, APIs and big data technologies.
• Collaborate with cross-functional teams to translate business requirements into non-technical terms and data frameworks.
• Ensure the team provision trusted data for end users to analyze and report against by building user friendly data visualizations that are deployed across Simpro Group.
• Ensure data integrity, compliance with data governance and security policies, and continuous availability of data for operational and analytical purposes.
• Own the certification of all, and the creation of the most important, operational dashes for revenue generating teams.
• Continuously evaluate new technologies and tools to enhance the data architecture and analytics capabilities of the organization.
• Manage and optimize data queries and performance in Google BigQuery to ensure efficient data storage and retrieval.
• Develop, monitor, and maintain a scalable data architecture, as well as optimize and oversee database performance.
• Design and implement complex data pipelines using Fivetran for optimal extraction, transformation, and loading of data from various sources.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field; Master’s degree preferred.
• Demonstrated ability to work with large, heterogeneous datasets in building and optimizing data pipelines, architecture, and data sets.
• Excellent problem-solving skills and ability to translate business requirements into non-technical terms.
• Experience with data modeling, warehousing, and building ETL pipelines. Knowledge of CI/CD for deployment of data pipelines (e.g. Github) a plus.
• Strong experience with ETL tools and methodologies.
• Strong EQ, enabling you to successfully engage at all levels of the organization and distill complex data systems into terms the business can ingest.
• In-depth knowledge of cloud-based data warehouses, particularly Google BigQuery. Certifications in Google Cloud Platform are a plus.
• Prior exposure to machine learning algorithms and underlying data structures.
• Proficiency in SQL is a must. Knowledge and experience in Python is a plus.
• Confidence in project management to successfully estimate, track, and complete milestones and deliverables for complex projects impacting many teams. Demonstrated ability to prioritize highest impact initiatives under tight deadlines
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

Benefits

• Paid Volunteer Leave Days
• Generous Parental Leave Program
• Talent Referral Program – get rewarded for referring a friend to join our team!
• 401k/Retirement Plan with 6% employer match
• Responsible Time Off
• Diverse training & internal networking opportunities across all of our product lines
• Comprehensive medical, dental, vision package with 100% employer paid options
• Enjoy up to 4 weeks a year of flexible 'Work from Anywhere' time!
• Public Holiday Exchange Scheme
• Opportunities for career progression and development
• For in-office roles in Broomfield, CO we offer a dog friendly environment, happy hours and office games, and free parking

Training + Development

Interview process

Visa Sponsorship

Security clearance