Virtuous · 5 hours ago
Lead Data Platform Engineer
Virtuous is on a mission to inspire global generosity by helping nonprofits build better relationships with their donors. They are seeking a Lead Data Platform Engineer to design and build systems that power their data ecosystem, focusing on creating a secure, scalable, and AI-ready platform for self-service analytics across the company.
Enterprise SoftwareNon ProfitSaaSBig DataSoftwareAnalyticsCharityCRM
Responsibilities
Own the evolution of Virtuous’s data platform, primarily on Snowflake and dbt, as a secure, scalable, and AI-ready system
Design data models, metadata, and access patterns that support natural-language querying and AI-assisted analysis
Partner with Data Operations and Teams across the company to ensure data structures are accurate, reusable, and aligned with business definitions
Prepare data foundations that allow AI tools to deliver consistent, timely, and trustworthy answers
Ensure AI systems access data exclusively through governed service accounts and role-scoped permissions, with query activity auditable and restricted according to enterprise data classification and access standards
Architect and implement role-based access controls within Snowflake and related data systems (including row- and column-level security), ensuring enforcement aligns with enterprise IAM standards, approved access policies, and centralized identity governance processes
In partnership with Security Operations and IT, translate approved enterprise access and compliance policies into enforceable platform-level controls, and maintain technical configurations to ensure ongoing alignment with those standards
Ensure all platform-level access controls integrate with the enterprise identity provider (SSO, SCIM, role lifecycle management), and support automated provisioning, deprovisioning, and periodic access certification processes
Build governance patterns that are enforced by design — not by manual process
Support periodic access reviews and control validation processes in coordination with Security and Compliance teams, ensuring appropriate separation of duties between policy definition, approval, and technical implementation
Build and maintain CI/CD pipelines, testing strategies, and deployment patterns for dbt and Snowflake
Design deployment, testing, and validation patterns that make accuracy the default
Establish platform standards, templates, and best practices that enable others to move faster without sacrificing quality or security
Increase the amount of trusted work the organization can do without increasing Data Ops involvement
Reduce ad hoc work by building reusable systems and guardrails
Act as a technical leader and thought partner across data-related initiatives
Own Snowflake warehouse strategy, resource governance, and cost optimization
Continuously improve performance, scalability, and reliability across the data platform
Identify and eliminate inefficiencies that increase cost, risk, or operational overhead
Collaborate with IT and Cloud Engineering to ensure Snowflake networking, storage integrations, and data movement patterns align with enterprise cloud security baselines, network segmentation standards, and infrastructure governance policies
Qualification
Required
7+ years of experience in data engineering, platform engineering, or related infrastructure roles, with ownership of production systems
Deep expertise in Snowflake, especially: Roles and RBAC, Row-level and column-level security, Warehouse design and cost optimization, Performance tuning and governance
Strong experience using dbt to build and maintain shared data models, including macro development, testing strategies, source freshness, group model security implementation, and production deployment patterns
Advanced SQL skills and experience designing reliable ELT/ETL pipelines
Proven systems-thinking mindset, with the ability to reason about tradeoffs across correctness, access, cost, and speed
Clear communicator who can explain complex technical concepts to both technical and non-technical partners
Preferred
dbt certification strongly preferred
Experience enabling AI/ML or natural-language data access
Familiarity with data observability, lineage, or metadata tooling
Experience designing platforms for self-service analytics
Exposure to BI tools such as Sigma, Looker, or Tableau
Experience working in lean, fast-growing organizations where leverage matters more than headcount
Benefits
Employee recognition through Bonusly (birthdays, anniversaries, achievements, etc.)
401(k) retirement plan with company matching- 50% match up to 6% of compensation after 90 days
Unlimited PTO
Supportive time off including paid volunteer days and company holidays
Employer-contributed healthcare benefits, encompassing medical, dental, and vision coverage, with plans available for dependents and choices for Health Savings Accounts (HSA) and Flexible Spending Accounts (FSA)
12 weeks primary parent leave, 4 weeks secondary parent leave - full pay (adoption as well)
Community and host exciting company outings and events
Company
Virtuous
Our mission is to move the needle on global generosity by helping nonprofits better connect with and inspire their supporters.
H1B Sponsorship
Virtuous has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (1)
2023 (1)
2021 (1)
Funding
Current Stage
Growth StageTotal Funding
$155.78MKey Investors
Susquehanna Growth EquityFulcrum Equity PartnersMATH Venture Partners
2024-09-19Private Equity· $100M
2024-08-07Series Unknown· $15M
2022-10-18Series Unknown· $14M
Recent News
Columbia West
2025-10-11
Company data provided by crunchbase