Pantera Capital
Director of Analytics Engineering
Pantera Capital, San Francisco, California, United States, 94199
The Role:
Gametime is seeking a strategic and technically hands-on
Director of Analytics Engineering
to lead the vision, design, and implementation of a
modern, AI-ready data infrastructure . You will be responsible for establishing a
robust Analytics Data Layer (ADL) , enabling
real-time insights , and ensuring
data governance and self-service accessibility
across technical, non-technical, and agentic user personas. This role sits at the intersection of
data engineering, analytics, platform strategy, and AI enablement , and will play a pivotal role in positioning Gametime to extract scalable business value from data at speed. Key Responsibilities
Data Architecture & Strategy
Collaborate with the Data Platform Team to implement an
end-to-end design of a real-time, AI-ready architecture
with modularity, scalability, and speed in mind. Define and operationalize a
best-in-class Analytics Data Layer (ADL)
that integrates across marketing, product, finance, and customer experience datasets. Implement a
high fidelity architecture
using tools like dbt, Sigma, and Snowflake to ensure high-frequency and low-latency data availability. Data Governance & Modeling
Own and drive the
governance framework
across all modeled data assets, ensuring consistency, accuracy, and security across the stack. Codify
standards for testing, documentation, and access
using dbt and CI/CD pipelines to build a trusted foundation. Enablement & Tooling
Architect systems that support
self-service analytics
across diverse personas — including analysts, operators, product managers, and AI agents. Partner with analytics, product, and ML teams to provide
structured and reusable data products . Leverage
visualization tools
(e.g., Sigma, Looker, Tableau) to expose curated metrics and diagnostics via intuitive dashboards. Leadership & Collaboration
Lead and grow a team of analytics engineers and data modelers; act as a
multiplier across the org
by documenting, mentoring, and sharing best practices. Collaborate closely with cross-functional leaders in ML Engineering, Backend, Analytics, and Finance to align data strategy with business goals. What You Bring
Required
8+ years in analytics/data engineering roles, with at least 3+ in a technical leadership capacity. Deep expertise in
dbt ,
SQL ,
cloud data warehouses
(Snowflake preferred), and
modern data stack practices . Familiarity with
data visualization platforms
(e.g., Sigma, Tableau, Power BI). A strong belief in
data enablement and decentralization
— paired with a disciplined approach to governance and standardization. Nice to Have
Experience architecting
real-time or near-real-time data systems . Experience with stream processing frameworks (e.g., Kafka, Flink, Spark Streaming). Prior success in scaling self-service analytics or embedded data tooling. Exposure to ML or AI workflows and how data pipelines serve model training and inference. Why Join Us
At Gametime, we believe data is one of our most powerful levers for innovation. From optimizing real-time ticketing decisions to unlocking insights for new product lines, this role offers a rare opportunity to
build a foundational data platform that directly powers product and AI innovation
at scale. What We Can Offer:
Flexible PTO Competitive salary & equity package Monthly Gametime credits for any event ($1,200/yr) Medical, dental, & vision insurance Life insurance and disability benefits Diverse Family-forming benefits through Carrot Fertility 401k, HSA, pre-tax savings programs Company off-sites and meet-ups Wellness programs Tenure recognition At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget. United States - Pay Range $250,000 — $300,000 USD Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.
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Gametime is seeking a strategic and technically hands-on
Director of Analytics Engineering
to lead the vision, design, and implementation of a
modern, AI-ready data infrastructure . You will be responsible for establishing a
robust Analytics Data Layer (ADL) , enabling
real-time insights , and ensuring
data governance and self-service accessibility
across technical, non-technical, and agentic user personas. This role sits at the intersection of
data engineering, analytics, platform strategy, and AI enablement , and will play a pivotal role in positioning Gametime to extract scalable business value from data at speed. Key Responsibilities
Data Architecture & Strategy
Collaborate with the Data Platform Team to implement an
end-to-end design of a real-time, AI-ready architecture
with modularity, scalability, and speed in mind. Define and operationalize a
best-in-class Analytics Data Layer (ADL)
that integrates across marketing, product, finance, and customer experience datasets. Implement a
high fidelity architecture
using tools like dbt, Sigma, and Snowflake to ensure high-frequency and low-latency data availability. Data Governance & Modeling
Own and drive the
governance framework
across all modeled data assets, ensuring consistency, accuracy, and security across the stack. Codify
standards for testing, documentation, and access
using dbt and CI/CD pipelines to build a trusted foundation. Enablement & Tooling
Architect systems that support
self-service analytics
across diverse personas — including analysts, operators, product managers, and AI agents. Partner with analytics, product, and ML teams to provide
structured and reusable data products . Leverage
visualization tools
(e.g., Sigma, Looker, Tableau) to expose curated metrics and diagnostics via intuitive dashboards. Leadership & Collaboration
Lead and grow a team of analytics engineers and data modelers; act as a
multiplier across the org
by documenting, mentoring, and sharing best practices. Collaborate closely with cross-functional leaders in ML Engineering, Backend, Analytics, and Finance to align data strategy with business goals. What You Bring
Required
8+ years in analytics/data engineering roles, with at least 3+ in a technical leadership capacity. Deep expertise in
dbt ,
SQL ,
cloud data warehouses
(Snowflake preferred), and
modern data stack practices . Familiarity with
data visualization platforms
(e.g., Sigma, Tableau, Power BI). A strong belief in
data enablement and decentralization
— paired with a disciplined approach to governance and standardization. Nice to Have
Experience architecting
real-time or near-real-time data systems . Experience with stream processing frameworks (e.g., Kafka, Flink, Spark Streaming). Prior success in scaling self-service analytics or embedded data tooling. Exposure to ML or AI workflows and how data pipelines serve model training and inference. Why Join Us
At Gametime, we believe data is one of our most powerful levers for innovation. From optimizing real-time ticketing decisions to unlocking insights for new product lines, this role offers a rare opportunity to
build a foundational data platform that directly powers product and AI innovation
at scale. What We Can Offer:
Flexible PTO Competitive salary & equity package Monthly Gametime credits for any event ($1,200/yr) Medical, dental, & vision insurance Life insurance and disability benefits Diverse Family-forming benefits through Carrot Fertility 401k, HSA, pre-tax savings programs Company off-sites and meet-ups Wellness programs Tenure recognition At Gametime pay ranges are subject to change and assigned to a job based on specific market median of similar jobs according to 3rd party salary benchmark surveys. Individual pay within that range can vary for several reasons including skills/capabilities, experience, and available budget. United States - Pay Range $250,000 — $300,000 USD Gametime is committed to bringing together individuals from different backgrounds and perspectives. We strive to create an inclusive environment where everyone can thrive, feel a sense of belonging, and do great work together. As an equal opportunity employer, we prohibit any unlawful discrimination against a job applicant on the basis of their race, color, religion, veteran status, sex, parental status, gender identity or expression, transgender status, sexual orientation, national origin, age, disability or genetic information. We respect the laws enforced by the EEOC and are dedicated to going above and beyond in fostering diversity across our company.
#J-18808-Ljbffr