Data Warehouse Engineer

About DeleteMe, The Online Privacy Company

DeleteMe is the online privacy company that makes easy-to-use tools for consumers and businesses to control what personal information companies, third parties, and what other people see about them online.

DeleteMe is a rapidly growing SaaS privacy business operating globally and remotely / WFH – we are the emerging leader based on # customers and $ revenues in a fast-growing nascent category of consumer and enterprise security Privacy Services.  What we do - our mission - matters because we are restoring a sense of privacy, fairness, and control of personal data in the possession of others.  Easier, simpler, control underpinned by a suite of new data privacy laws being passed worldwide will play a part in greater personal security, and freedom, and in stronger democracies in an era where data collection is at unprecedented levels.  This is what our work and brand stand for and we are building a large, sustainable, for-profit business to catalyze this.  We have strong B2C and B2B businesses with respective product offerings informed by feedback from an active customer base growing between 30% and 200% year/year.  DeleteMe is well-capitalized: profitable for the last three years with an 8-figure balance sheet and large-scale venture firms as investors.

DeleteMe is led by a passionate team, backed by premier investment firms, and supercharged by a strong mission to empower consumers with privacy.

• We are seeking a highly skilled and motivated Data Warehouse Engineer to join our Data Warehouse team. In this role, you will help the Data Warehouse fulfill its mandate to empower the company to make better data-driven decisions. You will report to the Data Warehouse Team Lead and collaborate with key stakeholders across the company to ingest, anonymize, organize and document data across the company.

• This is an exciting opportunity to build a new data warehouse while developing your skills in a supportive and innovative team.

• Design and Build a Scalable Data Warehouse: Design and implement data ingest systems that keep up with business needs and growth of data sources. Your team is expected to develop and meet SLAs for the onboarding of new data.

• Design and Build Shared Data Models: Work with stakeholders in our BI team, Product, and Engineering to build data models that can be shared by multiple groups within the company.

• Advocating Data Literacy and Governance: Your team is the first point of contact for raw data, so maintaining documentation on what’s available and how to access it in a compliant way is essential to building a healthy data culture at DeleteMe.

• Ensuring Audit-ability and Compliance: Develop and maintain a data warehouse that meets security audit and SOC 2 compliance requirements from Day 1.

• Stakeholder Collaboration: Partner with the BI Team, Product, Engineering and other stakeholders to gather requirements and align initiatives to company strategy.

• Contribute to Team Goals: Participate in planning sessions and team initiatives, aligning with the Data Warehouse Team Lead’s vision and organizational objectives.

• This is a new team that you get to help define. Our initial vision includes making raw data widely available, onboarding new data quickly from owners across the company, broadening access by aggregating/anonymizing PII, maintaining low-level self-serve tooling and documentation, and introducing trusted models shared across multiple stakeholders.

• Minimum of four years of experience in data/analytics engineering with a track record of designing and implementing effective systems.
• Excellent collaboration and communication skills to work effectively with technical and non-technical stakeholders.
• Deep understanding of compliance frameworks like SOC 2 and best practices for infrastructure auditability.
• Passion for contributing to a collaborative culture that values innovation, continuous improvement, and personal accountability.

• Analytic SQL (we use Snowflake currently)
• Setting up data ingest pipelines at scale
• Managing toolchains in the data/analytics engineering ecosystem tools including Snowflake and DBT
• Git and CI/CD pipelines
• Managing data governance and compliance in a data warehouse

• Comprehensive health benefits 
• Flexible work schedule
• 100% work from home
• Generous 401k matching
• Paid time off
• Company-paid holidays
• Childcare expense reimbursement
• Fitness reimbursement
• Birthday time off