Data Engineer

2 weeks ago

Toronto, Ontario, Canada dotCMS Full time
About the Role

We are seeking an experienced Data Engineer to lead our data function and help define our company's data collection, warehousing, and reporting strategy. As a Data Engineer, you will be responsible for overseeing and leading the data function, including internal metrics and telemetry, data warehousing, scalable data, data dashboards, business intelligence, business analytics, and reports.

Key Responsibilities
  • Oversee and lead the data function at dotCMS, including internal metrics and telemetry, data warehousing, scalable data, data dashboards, business intelligence, business analytics, and reports.
  • Spearhead and facilitate data-driven decision-making as a rule at dotCMS, especially within Product and cross-functionally for diverse needs, across functions such as Product, Engineering, Sales, Marketing, Channels, and Customer Experience.
  • Contribute deeply to the definition and delivery of specifications for data needs based on organizational goals and requirements, product metrics, and other internal metrics.
  • Manage and operationalize data warehouse plans to handle requests of Data and implement data gathering, logging, and telemetry to ensure data availability.
  • Design, build, and release net-new data models and controls, data pipelines and transformations, and databases and visualizations, using widely available development tools, and extraction, transformation, and loading processes where necessary.
  • Act as a visible internal spokesperson for the Data function, enabling other functions to contribute data, make requests, and leverage dashboards.
  • Lead and direct all Data activities, maintaining a data warehouse and all dashboards and integrating data from a wide variety of sources into meaningful, actionable information.
  • Issue regular reports providing a comprehensive view of data on a regular basis, especially for Product and Revenue, with an aim to cultivate better product iteration and continuous improvement.
  • Manage the Data infrastructure and its operations at dotCMS, including procurement of data warehouse providers and day-to-day upkeep.
  • Keep apprised of emerging approaches and technologies, industry trends and channels, and field and market expectations to maintain a high bar for Data practice at dotCMS and data handling.
  • A strong understanding of practical applications of data engineering best practices and hands-on data science.
  • The ability to share your data engineering knowledge with other technical and customer-facing teams.
  • Share industry knowledge and Data Engineering best practices across the team.
Requirements
  • 2-3+ years of experience in a Data Science, Data Engineering, Machine Learning, Business Intelligence, or Business Analytics role.
  • 1+ year of experience managing and overseeing a data warehouse, data processing automation, data quality, data visualization, and data privacy, and 1+ year of experience issuing regular visualizations and reports.
  • Proven track record of: Implementing a new data warehouse from zero. Solid AWS experience. Experience working with Software visualization to present and share legible and easily understandable dashboards, visualizations, and reports for Product, Revenue, Customer Experience, and/or Engineering. Integrating data from a wide range of sources. Aggregating and summarizing non-linear data into meaningful information. Explaining and presenting data warehousing concepts and requirements to internal stakeholders. Delivering consumable reports used to inform regular executive decision making and Product prioritization. Being a self-starter able to advocate for the Data function and for key Data procurement needs.
  • Experience with a wide range of data warehousing tools, including multiple ETL, query and reporting tools, visualization techniques, data mining tools and techniques and OLAP tools.
  • Familiarity with one or more programming languages used in dotCMS architecture and data engineering, such as Java, Scala, and Python.
  • Familiarity with SQL and PostgreSQL experience.
  • Excellent communication and interpersonal skills to collaborate with other teams.
  • Bachelor's degree in Data Science, Computer Science, or a related field.
Desirable Characteristics
  • GraphQL experience
  • Experience with Clickhouse, Grafana, and/or Google Looker/Looker Studio
  • Bonus: Integrating data from HubSpot, GitHub, Zapier, Google Suite, and other CRM, SCM, and project management tools
  • Bonus: experience with NoSQL and non-relational databases such as MongoDB
  • Experience building or working with data sources to drive machine learning.

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