This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a Principal Data Engineer and Data Governance Lead with deep Snowflake expertise, strong Master Data Management (MDM) skills, and proven experience leading data governance and managing data and reporting teams. This role is central to unifying data across Salesforce, HubSpot, Gong, BigCommerce, LMS systems, and internal delivery platforms, enabling accurate segmentation, forecasting, GTM insights, operational efficiencies, and AI-driven automation. This role owns both the technical data foundation and the governance and people leadership required to make data trustworthy and usable at scale. You will: - Architect robust data pipelines - Establish the enterprise data model - Design AI-ready semantic layers - Lead the data and reporting function - Coach cross-functional teams on data stewardship Teachstone is entering a phase where reliable, unified, and well-governed data is essential to achieving our 2026 goals: - Strengthening profitability - Improving predictability - Expanding digital delivery - Diversifying markets - Deepening customer engagement This role provides the technical, governance, and leadership backbone needed to: - Create and enforce a single source of truth across Growth, Delivery, CS, Finance, and Product - Lead and mature the data and reporting team to deliver consistent, high-impact insights - Establish sustainable data governance practices that scale beyond individuals - Enable advanced reporting, forecasting, and AI-driven decision support - Reduce manual reporting, rework, and operational friction across the organization Qualifications - 10+ years of experience in data engineering, including people leadership or functional leadership of data/reporting teams - 4+ years of hands-on Snowflake experience (RBAC, warehouse design, performance tuning, cost management) - Snowflake certification required - Advanced SQL and proficiency in Python or another data-oriented language - Experience with dbt, Matillion, Fivetran, Airflow, Prefect, or similar tools - Experience leading analytics engineering or enterprise reporting functions - Demonstrated familiarity with semantic layers and AI/ML-enabled analytics - Demonstrated experience designing and leading data governance and MDM initiatives - Strong communication skills with the ability to influence technical and non-technical stakeholders - Comfort operating in a matrixed organization Requirements - Experience in SaaS, education, or services-based delivery environments - Prior participation in enterprise data strategy or governance council Benefits - Fair, Competitive Pay: Equal pay for equal work, using consistent salary bands based on market benchmarks, reviewed annually. - Salary Range: $135,000 - $175,000, determined by your experience, skills and internal equity. - Comprehensive Benefits: Medical/dental, 401(k), PTO, insurance, development opportunities. Details provided at offer. - Eligibility depends on your role and employment status. Company Description At Teachstone, we believe that every interaction shapes a brighter future. If you're passionate about transforming education and want to be part of a team that's committed to meaningful impact, we want to hear from you. Apply today and help us create classrooms where every child thrives! At Teachstone, we encourage all individuals to apply and bring their unique perspectives to our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other characteristic protected by law. We value the different experiences and ideas our team members bring and believe they are essential to solving complex challenges and driving our mission forward.

• Evaluate, recommend, and implement test data strategies • Understanding project architecture, test environment, test data needs • Support various applications such as, but not limited to, re-hosted VistA legacy, Cerner Millennium, and COTS/GOTS integration with VistA legacy • Contribute to the overall performance and success of the project and will be primarily responsible for preparing test data for EHRM interface testing activities • Demonstrate hands-on software, system architecture, interface testing, and database development and/or enhancement experience • Collaborate and actively participate in meetings with stakeholders, other Engineers and Subject Matter Experts • Work both independently and in a team setting promoting a collaborative work environment with team members and customers, defining, organizing, and/or presenting detailed information and data needed to accomplish organization and engineering goals

• Build infrastructure: Design pipelines (SQL, dbt, BigQuery) that unify marketing, product, and operational data. Own data quality and event tracking validation. • Power experimentation: Partner with Product to design and analyze A/B tests across acquisition and activation funnels. Implement Mixpanel instrumentation for new experiments. • Drive insights: Own funnel reporting, attribution models, and campaign analysis. Build Looker dashboards that surface where the team should focus next. • Enable AI-driven growth: Support integration of LLM-enriched data models, embeddings, and similarity signals for smarter targeting and segmentation.

Better Money Strike is the Bitcoin company. With Strike, you can buy and sell bitcoin, pay bills, and borrow against your holdings. From individuals to businesses, Strike is purpose-built for every step of the Bitcoin journey. Available in more than 100 countries — including the U.S., Europe, Latin America, and Africa — Strike is building a better financial system powered by Bitcoin. Bitcoin is better money. Strike is how you use it. Role: We are hiring a Data Engineer to help build the data infrastructure that powers decision-making across the company. You will build the systems that allow analysts, data scientists, and other stakeholders to work with trustworthy data at scale. We operate lean and move quickly. You should be comfortable building from zero, improving systems continuously, and collaborating across teams. Responsibilities - Design, build, and maintain scalable data pipelines that drive analytics, product insights, and operational reporting across the company - Develop data movement and storage strategies that meet security standards while managing cost and efficiency tradeoffs - Partner closely with data analysts to ensure value is being delivered in our reporting and alerting systems which are broadly consumed across the business - Collaborate with engineering, product, and operations teams to support our product roadmap and ongoing customer needs - Educate others on best practices and continually raise the bar when it comes to the production, application, and maintenance of data at Strike Requirements - 3+ years of experience building production data systems in a product-focused environment. We build cloud-native data pipelines working with high-volume heterogeneous data across distributed systems - Strong ownership of projects and the ability to work independently while asking for clarification when needed. Ability to manage multiple priorities and meet tight deadlines. - Deep knowledge of various data architectures and design patterns, including their advantages and limitations - Expertise building multi-step ETL jobs and building robust data models through tooling like DBT. Proficiency with workflow management platforms like Airflow and version control management through GitHub. - Strong SQL and Python expertise and an understanding of system design, data structures, and algorithms. - Excellent interpersonal communication and conflict resolution skills Nice to Have - Experience with data instrumentation and eventing to support product and marketing analytics (Rudderstack or Segment experience is a plus) - Experience building real-time streaming and change-data-capture systems - Basic understanding of the Bitcoin protocol, including how the blockchain and mempool work - Experience using AI coding tools to accelerate the development process US-Based Positions: - Salary range: $170-$200K - Equity in a high growth startup - Health, dental, and vision insurance premium contributions; short & long term disability insurance and basic life insurance - Cell phone and internet reimbursement - Flexible PTO, sick leave & parental leave - Access to participate in a company 401k plan Non US-Based Positions: - Location Dependent We do not make hiring decisions based on educational history whatsoever. Our Founder is a college dropout. We employ high school dropouts, PHD candidates and everything in-between. We do not hire credentials. We simply hire talented, passionate individuals who are excited to be a part of our team. By clicking submit application below, you consent to our use and processing of your data as described in our Candidate Privacy Notice.