Address
Form of work
SalaryOur Client
Our client is a medium sized education software business with 800 employees and founded in 2000.
They are a leader in creating immersive, rigorous digital learning experiences that look great, play great, and help students expect great things of themselves. They have been described as the best tech company in education, and the best Education Company in tech.
As a member of the engineering organization, you will join a talented team taking on the toughest problems in education with the best ideas in technology – including user experience, APIs and services, data analysis, and deployment pipelines. You’ll play an active role in inventing and improving product design and the classroom experience.
What You’ll Do
Our client's Data Governance team is responsible for ensuring our data's quality, accuracy, security, and consistency through a mix of visibility and controls. They truly believe in a culture of data enablement and strive to empower our teams to achieve their objectives through the use of data. The purpose is to encourage users to explore and be confident in the data, not put up gates to limit or restrict. They believe that data has the power to drive our business, improve the efficacy of our products, and, most importantly, change the lives of teachers and students - and to do that, the Data Governance team ensures the data is well-defined, discoverable, secure, and high quality.
- Delivery:
- Drive the successful technical delivery of the Data Catalog
- Support the Data Domain and Stewardship teams with Data Governance efforts, such as Business Glossary definitions and asset enrichment
- Execute the rollout of Data Governance initiatives and policies
- Communication and Collaboration: Partner with data stakeholders across the organization to promote Data Governance goals, assist with breaking down invisible data barriers, and understand catalog, and steward key data assets for the company to gain a comprehensive understanding of the data assets
- Change Management: Assist in the development of policies, procedures, and self-service governance tools within the metadata catalog to help all functions meet their governance needs
- Leadership: Be a key leader in the data organization Provide Leadership to our data stakeholders during key initiatives such as launch of the Data Catalog / Metadata management tool and building strong Data Stewardship teams.
- People Skills: Foster strong relationships and navigate diverse stakeholder perspectives in order to gain consensus for Data Governance work efforts
- Strategy: Assist in helping to drive Data Governance security and access policies, help define data quality
Example Projects You Might Work On
- Rollout of the Data Catalog / Metadata Management tool: Own key technical aspects of a data catalog implementation by assisting with requirements gathering, metadata collection monitoring, developing automation scripts and other related tasks
- Data Quality: Help to establish data quality standards and launch efforts to measure and improve data quality
- Metadata Definition: Assist Data Stewards in defining key metadata for Data Domains
- Data Access and Security: Work with Data Governance leaders and data stakeholder to assist with defining and articulating data access and security policies
Basic Requirements of the Data Governance Analyst
- 3+ years of professional data / analytics engineering experience, or in a data-intensive field
- 3+ years of experience working in a Data Governance or data management function
- 3+ years working directly on the implementation of Atlan or other data catalog, glossary or metadata management tools such as Secoda, Alation, data.world, or Colibra
- Hands on experience with business intelligence and reporting tools
- Excellent communication skills in writing and conversation, especially with non-technical partners
- Drive to understand data and its relevance to our business and product decisions
Preferred Requirements of the Data Governance Analyst
- Familiar with working with Data Quality / Data Observability tools such as Monte Carlo
- Experience working with a cloud-based data warehousing and analytics stack (Airflow, dbt, Snowflake, AWS)
- Experience with tools we use every day:
- Storage: Snowflake, AWS Storage Services (S3, RDS, Glacier, DynamoDB)
- ETL/BI: Airflow, dbt, Fivetran, Matillion, Looker, Tableau
- Cloud Infrastructure: AWS Lambda, API Gateway, Terraform
- Experienced and knowledgeable with development languages like SQL, Python, R
- Understanding of ETL/ELT pipelines and Data Warehousing design, tooling, and support
- Experience with tools we don’t use, but should
- Proven passion and talent for teaching fellow engineers and non-engineers
- Experience in education, ed-tech, or other fields with significant privacy, security, and compliance requirements
The Compensation includes:
- 401(k) plan,
- Competitive health insurance and mental health options
- Basic life insurance
- Paid time off,
- Parental leave
- Access to best-in-class development programs.
