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Data Warehouse Team Lead

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.



Job Summary
  • We are seeking a highly skilled and motivated Data Warehouse Team Lead as the first leader on our Data Warehouse team. In this role, you will oversee the Data Warehouse team’s projects and priorities as the team works to fulfill its mandate to empower the company to make better data-driven decisions. You will report to the VP of Engineering and collaborate closely with the Sr. Director of Engineering, and key stakeholders to ensure our data warehouse supports the organization’s strategic goals and meets the highest standards of compliance, access, and reliability.

  • This role offers the opportunity to shape the data infrastructure that powers our organization while leading a talented team to success. This is a role with high growth potential for the right candidate.


Your Responsibilities
  • Overseeing Projects and Priorities: Lead the Data Warehouse team to deliver on project roadmaps and align priorities with business objectives.
  • Defining and Implementing the Data Warehouse Vision: Work with senior engineering leadership to develop and execute a strategic vision for the team. The initial vision includes making raw data widely available, onboarding new data quickly from owners across the company, facilitating access to the data, broadening access by aggregating/anonymizing PII, maintaining low-level self-serve tooling and documentation, and gradually introducing trusted models shared across multiple stakeholders.
  • Building Scalable Data Ingest: Design and implement data ingest systems that keep up with business needs and growth of data sources. You’ll be expected to develop and meet SLAs for the onboarding of new data.
  • 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 Auditability 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.
  • Team Leadership: Manage team performance, provide professional development opportunities, and foster a collaborative, high-performing culture.


Requirements
  • Minimum of 4 years of experience in data/analytics engineering with a track record of designing and implementing effective systems.
  • Minimum of 2 years of experience leading a data engineering/analytics team.
  • Proven hands-on experience setting up data ingest pipelines at scale.
  • Proven hands-on experience managing toolchains in the data/analytics engineering ecosystem tools including DBT.
  • Proven hands-on experience managing a data warehouse, Snowflake preferred
  • Proven hands-on experience managing data governance and compliance in a data warehouse.
  • Strong leadership and project management skills, with the ability to prioritize and execute on competing demands.
  • 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 team development and fostering a culture of innovation and accountability.
  • This role may require occasional domestic and international travel. All standard travel expenses will be covered in accordance with the company's travel reimbursement policy.


What We Offer
  • 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


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Average salary estimate

$135000 / YEARLY (est.)
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What You Should Know About Data Warehouse Team Lead, DeleteMe

Are you ready to take the lead in shaping data infrastructure at DeleteMe, the Online Privacy Company? We are on the lookout for a passionate and experienced Data Warehouse Team Lead to join our rapidly growing team in the United States! You’ll be the driving force behind our Data Warehouse projects, ensuring that we empower our organization to make informed, data-driven decisions. In this pivotal role, you’ll collaborate closely with the VP of Engineering and Sr. Director of Engineering, guiding a talented team as we strive for excellence in compliance, accessibility, and reliability. You will be involved in defining our data vision, overseeing the implementation of scalable data ingest systems, and advocating for a culture of data literacy across the organization. At DeleteMe, we believe in making raw data widely available, and you’ll help make that happen by fostering strong collaboration with key stakeholders, including our BI team and product engineers. With proven leadership skills, you’ll manage team performance, encourage professional growth, and help cultivate a collaborative culture. Your expertise with data governance, compliance frameworks like SOC 2, and hands-on experience managing a data warehouse — ideally Snowflake — will be instrumental in our mission to maintain data integrity. If you’re ready for a role that offers high growth potential and the chance to truly influence our data strategy, DeleteMe is the place for you!

Frequently Asked Questions (FAQs) for Data Warehouse Team Lead Role at DeleteMe
What responsibilities does the Data Warehouse Team Lead at DeleteMe have?

As the Data Warehouse Team Lead at DeleteMe, your primary responsibilities include overseeing the Data Warehouse team's projects, defining and implementing the team's strategic vision, designing scalable data ingest systems, and advocating for data literacy and governance. You will also ensure auditability and compliance with standards such as SOC 2 from day one, while collaborating with stakeholders to align your team's initiatives with the overall company strategy.

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What qualifications are needed for the Data Warehouse Team Lead position at DeleteMe?

To excel as the Data Warehouse Team Lead at DeleteMe, candidates should possess a minimum of 4 years of experience in data or analytics engineering, including at least 2 years in a leadership role. Proven experience setting up data ingest pipelines at scale, managing a data warehouse (preferably Snowflake), and strong project management skills are crucial. Additionally, a thorough understanding of compliance frameworks and a passion for developing teams is key to success in this role.

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What skills make a successful Data Warehouse Team Lead at DeleteMe?

Success as a Data Warehouse Team Lead at DeleteMe hinges on a blend of technical and interpersonal skills. You’ll need strong leadership abilities, project management skills, excellent collaboration, and communication skills to engage with both technical and non-technical stakeholders. Hands-on experience with data governance, compliance, and familiarity with the data engineering ecosystem will also set you apart.

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What does the Data Warehouse team's culture look like at DeleteMe?

The Data Warehouse team culture at DeleteMe is one of collaboration, innovation, and accountability. The team strives to foster a high-performing environment while supporting professional growth. As the leader, you'll encourage an open dialogue, promote data literacy, and empower team members to contribute ideas and strategies that enhance our data management capabilities.

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How does the Data Warehouse Team Lead role fit within DeleteMe's overall strategy?

The Data Warehouse Team Lead plays a critical role in DeleteMe's overall strategy by enabling the organization to make informed, data-driven decisions. By defining the team's vision, implementing effective data management practices, and ensuring compliance and accessibility, this role directly supports DeleteMe's mission to empower consumers with privacy and build a robust, streamlined data culture.

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Common Interview Questions for Data Warehouse Team Lead
Can you describe your experience with data governance and compliance in a data warehouse?

In your answer, highlight your hands-on experience implementing data governance policies and ensuring compliance with standards such as SOC 2. Discuss specific challenges you faced and how you addressed them, emphasizing your understanding of the importance of auditability and compliance in a data-driven organization.

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How do you prioritize multiple projects as a Data Warehouse Team Lead?

To effectively prioritize projects, you can discuss methodologies like Agile or Scrum, your approach to stakeholder communication, and how you align project priorities with business objectives. Be sure to mention your ability to adjust to changing demands while keeping the team focused and productive.

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What strategies do you use to foster a culture of data literacy in your team?

Discuss specific initiatives you've implemented or participated in that promote data literacy, such as training sessions, workshops, or resources for team members. Highlight how you encourage curiosity, collaboration, and open communication about data within your team.

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Describe a challenging data pipeline project you led. How did you ensure its success?

Be specific about the project, the obstacles you faced, and the strategies you implemented to overcome those challenges. Discuss how you engaged with stakeholders, managed the project timeline, and monitored success through key performance indicators.

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How have you built scalable data ingest systems in your past roles?

Share your experience in designing data ingest systems, focusing on the tools and methodologies you used, as well as how you ensured the systems were adaptable to business needs. Mention any technologies you favor and how they contributed to scalability.

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What do you consider when defining a data warehouse vision?

Outline the key components of a successful data warehouse vision, such as accessibility, compliance, scalability, and stakeholder needs. Discuss how you balance technical considerations with business objectives and user experience in your approach.

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How do you measure the success of your data warehouse team?

Explain how you establish metrics and KPIs to evaluate the team's performance, including project delivery timelines, data quality, compliance audit results, and collaboration with other teams. Discuss continual improvement based on those measurements.

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What are some best practices for documentation in a data warehouse environment?

Discuss the significance of documentation in promoting data literacy, access, and compliance. Share your strategies for maintaining up-to-date and easily accessible documentation, as well as how you encourage team members to contribute.

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Can you give an example of a successful collaboration with technical and non-technical stakeholders?

Provide a specific instance where cross-team collaboration was essential, emphasizing how you facilitated communication, gathered requirements, and aligned project goals among diverse groups. Illustrate the positive outcomes of that collaboration.

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What is your experience with managing toolchains in the data engineering ecosystem?

Highlight your familiarity with various tools and technologies in the data engineering landscape, particularly those relevant to analytics and data warehousing. Share specific examples of toolchains you've implemented and how they improved efficiency and effectiveness.

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Full-time, remote
DATE POSTED
January 12, 2025

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