Salary
💰 $123,000 - $158,000 per year
Tech Stack
Amazon RedshiftAWSAzureCloudETLGoGoogle Cloud PlatformJavaJavaScriptJenkins.NETOraclePythonRDBMSScalaSparkSQL
About the role
- Create online guides, reference docs, and tutorials for technical audiences (SQL engineers, application developers, etc).
- Engage directly with product managers, software engineers, and UI designers to ensure all features, enhancements, and changes are fully documented.
- Work with release engineers and dev ops to deliver weekly product updates and documentation.
- Work with support engineers and customer success managers to help drive customer engagement and adoption, including contributing to Knowledge Base articles and Community questions; authoring and editing technical blog posts; developing training materials, implementation guides, migration guides, best practices, and FAQs.
- Create product documentation for Snowflake's Data Cloud in a fast-paced environment with weekly releases.
Requirements
- 10+ years creating technical product documentation from scratch, as well as from specs.
- Strong SQL and RDBMS skills (Oracle, Teradata, Redshift, SQL Server, etc); comfortable working with sample code.
- Exposure to using and documenting any of the following security and governance technologies: Identity and Access Management (SSO, OAuth, MFA, RBAC, SCIM, etc); Networking and Private Connectivity (AWS PrivateLink, Azure Private Link, Google Cloud Private Service Connect); Governance (data masking/tokenization for column-level security, row-level security, data classification and anonymization, etc); Additional topics (data encryption, auditing, compliance and regulatory standards).
- In-depth knowledge of the content development lifecycle, including: Identifying and understanding the information needs of the audience; Gathering information, interviewing SMEs, and conducting research; Authoring, publishing, and managing online/web content.
- Familiarity with ETL/ELT and BI technologies.
- Familiarity with cloud computing platforms (AWS, Microsoft Azure, GCP, etc).
- Familiarity with programming languages/APIs (Python, JavaScript, Java, Go, C#/.NET, etc).
- Familiarity with big data analytics, machine learning, and statistics (Spark, Scala, R, etc).
- Familiarity with database drivers/connectors (JDBC, ODBC, etc).
- Exposure to CI/CD methodologies and technologies (Jenkins, Lambda, etc).
- Exposure to open-source platforms and authoring/publishing tools for a "Docs-as-Code" approach (Git, RST/Sphinx, Markdown, DITA XML, etc).