Knak

Knak

Knak is a no code email and landing page creation platform for enterprise marketing teams. Create beautiful, on-brand campaigns quickly and seamlessly integrate with top marketing automation platforms.

Internet Software & Services
51-250
Founded 2015
$25M raised

Description

  • Architect and own per-department read-only Snowflake views for product usage, customer, pipeline, revenue, and behavioral data.
  • Define the governed query layer, including materialization strategy, refresh cadence, and access boundaries.
  • Translate customer data policies and PII requirements into view logic and compliance controls.
  • Partner with DevOps to establish connection standards for AI agents and downstream applications.
  • Document warehouse schemas, field meanings, source connections, and exclusions for each view.
  • Modernize ad-hoc SQL and brittle pipelines into version-controlled, tested, modular transformation models.
  • Establish dbt or an equivalent transformation layer and introduce CI for SQL changes.
  • Own data contracts for Tableau and Mixpanel dashboards, including upstream pipelines and daily snapshot architecture.
  • Set technical direction for the data team and lead code reviews, mentoring, and architectural discussions.
  • Work directly with department leaders and Security to scope, prioritize, and validate data access needs.

Requirements

  • 5+ years building production analytics systems on a cloud data warehouse, with Snowflake strongly preferred.
  • Deep SQL fluency, including CTEs, window functions, INFORMATION_SCHEMA, EXECUTE IMMEDIATE, and exception handling.
  • Experience designing data governance controls such as role-based access, view-level scrubbing, or row-level security at scale.
  • Production experience with dbt, SQLMesh, or a similar transformation framework, plus Git, code review, and CI for SQL.
  • Working understanding of BI and product analytics tools such as Tableau, Looker, Mode, or Mixpanel.
  • Track record of mentoring peers and influencing warehouse design decisions.
  • Strong written communication for design docs, schema documentation, and executive-facing decision records.
  • Experience with Fivetran or similar ELT tooling, especially across AWS, MySQL, Salesforce, LinkedIn Ads, and product event sources.
  • Experience supporting AI agents or LLM applications as data consumers, including connection patterns and rate limits.
  • Python experience for data engineering tasks such as ETL, pandas, or openpyxl.
  • Familiarity with PII handling under enterprise SaaS contracts.
  • Prior experience as the second or third data hire at a growing company is preferred.

Benefits

  • Competitive salaries with equity in the company.
  • Great benefits package.
  • Paid vacation.
  • Life leave days for personal needs.
  • Team lunches and off-sites.
  • Career growth support and development focus.
  • Inclusive, barrier-free work environment with interview accommodations available.

Interested in this position?

Apply directly on the company website

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