Knak
SaaS
SeniorDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer at Knak. Skills: Data Infrastructure architecture, AI enablement strategy, Governed query layer architecture, Data governance layer architecture, Transformation framework implementation, BI and product analytics layer understanding. Architect and own the governed query layer. Develop per-department Snowflake views”
What You'll Achieve.
Enable anyone at Knak to access needed data through internal AI agents and champion-built tools; Fix the data layer to enable self-serve querying; Improve conversion rate of campaigns; Help customers stay on brand
Industry & Context.
Analyzing stored procedures; Designing data governance layers; Anticipating impact of upstream warehouse decisions on downstream dashboards
What They're Looking For.
Must Have
Deep SQL fluency, Architectural ownership of a data governance layer, Production experience with a transformation framework (dbt, SQLMesh, or equivalent), Version control discipline (Git, code review, CI for SQL), Working understanding of the BI and product analytics layer (Tableau, Looker, Mode, Mixpanel, or similar)
Nice to Have
Experience with Fivetran or similar ELT tooling, especially AWS, MySQL, Salesforce, LinkedIn Ads, and product event sources, Experience supporting AI agents or LLM applications as data consumers, including connection patterns, rate limits, and prompt-safe data shaping, Python for data engineering (programmatic Tableau workbook edits, ad-hoc ETL, openpyxl, pandas), Familiarity with PII handling under enterprise SaaS contracts, Prior experience as the second or third data hire at a growing company
What You'll Do.
Architect and own the governed query layer
Develop per-department Snowflake views
Implement PII scrubbing logic
Create schema documentation
Establish connection standards for data querying
Fix the underlying data layer to enable self-serve data access
Set technical direction in partnership with the Director of Data
How You'll Work.
Team & Collaboration
Cross-functional work; Partnering with Director of Data; Mentoring and influencing peers; Supporting analysts and engineers with warehouse design questions
Communication Scope
Written communication for schema documentation, design docs, and decision records
Process & Methodology
90-day implementation plan with executive visibility
Full Job Description
Knak is a mission-driven company Why? Because our time is limited, our competition is fierce, and our margin for error is small. For us to have the greatest impact on the world, we need to be laser focused on our core mission, which is... Empowering people to be creative. That’s why Knak exists. We are a world-class enterprise email and landing page creation platform with a focus on making successful and happy customers by providing them with an incredibly powerful, yet easy to use creation platform. Our industry leading SaaS solution is built by Marketers, for Marketers. We know that it’s the small things that make the biggest impact and that emails and landing pages are where the rubber hits the road when it comes to Marketing Automation. We change the way Marketers work by making them more efficient, while improving conversion rate of their campaigns and helping them stay on brand. Oh, and we have a bit of fun while doing it, too! About Knak Knak is the no-code email and landing page creation platform built for enterprise marketing teams. Our customers are some of the largest, most demanding brands in the world, and they trust us to power campaigns that reach millions. Behind the product is a small, high-leverage data team building the analytical foundation that every department, including Product, Sales, Marketing, Customer Success, Finance, and Security, depends on to make decisions. About the role This is the first Data Engineer hire at Knak, and the role is foundational for Knak’s Data Infrastructure and AI enablement strategy. Snowflake holds the company's product usage, customer, pipeline, revenue, and behavioral data, but most of the company can't get to it without routing through one or two people. Our goal is that anyone at Knak can access the data they need from wherever they work through internal AI agents and champion-built tools. None of that is possible today because the data layer underneath doesn't exist. You will architect and own the governed qu
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