Job Description

Title: Sr. Director, Business Data Platform Engineering

In 2005, Smartsheet was founded on the idea that teams and millions of people worldwide deserve a better way to deliver their very best work. Today, we deliver a leading cloud-based platform for work execution, empowering organizations to plan, capture, track, automate, and report on work at scale, resulting in more efficient processes and better business outcomes.

The ideal Senior Director of Data Engineering is passionate about data and overseeing a team of data engineers directly responsible for impacting the reliability and performance of our critical production data infrastructure and warehouse systems. This leader looks to continually learn, and enjoys sharing their expertise in support of the design and development of data pipelines and creation of reliable, scalable and maintainable data platform infrastructure.

You will report to our VP of Data Science and Business Intelligence located in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer.

You Will:

  • Oversee the design and delivery of data systems from requirements to production in modern technology stacks using technology like Airbyte/Snowplow, Airflow, and Snowflake. Operating in multiple cloud environments like AWS and GCP. Integrating via change data capture(CDC) with many different data sources from streaming activity logs to MySQL/Postgres, NoSQL datastores and external business systems
  • Articulate and drive an ambitious vision for our data and platform strategy to the executive/leadership levels
  • Partner with cross-functional leaders in Engineering, Marketing, Finance and Sales on initiatives that leverage the centralized data platform
  • Be Informed of latest developments in Cloud and Software Engineering practices and take steps to modernize and maintain our data stack securely and in a compliant fashion
  • Modernize the data stack, establish and Implement data quality guidelines, including catalogs & anomaly detection solution alerting and notification
  • Build relationships across the organization, especially with engineering, to coordinate build out for new data and machine learning stack
  • Build, manage and grow a high performing team through inclusive hiring, mentoring and coaching
  • Advise data engineers and technologists, as required by the target architectures, to align with business priorities and their continued mentoring and coaching and development
  • Collaborate with BI and BI Ops leaders to enable down-stream Tableau reporting, self-serve and machine-learning models
  • Define the standards of excellence for technical delivery on projects so that the team has a framework for success
  • Support other duties as needed

You Have:

  • Bachelor’s degree in STEM, Master’s or PhD degree in Engineering, Computer Science, or Statistics preferred
  • 12+ years of experience as a part of a data management/engineering team
  • 8+ years of managing data and/or data engineers and software engineers
  • Experience with cloud-based data solutions (Amazon Web Services, Google, Azure, Snowflake and other streaming technologies)
  • Owned and created strategy for data and application platforms
  • Thorough understanding of Data Architecture, data Modeling, Data quality and lineage
  • Understanding of data integration processes: extraction, transformation and loading (ETL/ELT)
  • Understanding and past implementation of Data Governance processes
  • Experience working in an Agile development environment, or in a consulting capacity is a plus
  • Strong verbal and written communication, ability to communicate complex technology solutions to senior leadership, gain alignment, and drive progress