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Tech Stack
Tools & technologiesAirflowCloud
About the role
Key responsibilities & impact- Lead the enterprise data hub by managing the data warehouse and building reliable, optimised pipelines to ingest and transform data from systems across GTM, Product, Finance, and HR
- Drive an enterprise-wide data governance strategy by partnering cross-functionally to align on KPIs, key data definitions and ensure quality, security, and compliance.
- Prioritize and manage the data roadmap through sprint planning and balancing immediate stakeholder needs with scalable long-term architecture
- Implement best practices for data modeling, testing, and documentation to maintain clean, scalable, and auditable transformations.
- Deliver GTM-ready data by building trusted pipelines for metrics like pipeline health, bookings, churn, and customer lifetime value.
- Develop and execute a data strategy that enables advanced analytics and AI/ML use cases across the business.
- Lead and mentor a hub team of data and analytics engineers, setting priorities, CI/CD standards, and fostering a culture of reliability and innovation.
- Stay ahead of industry trends in modern data stack tools, orchestration and AI-driven data transformation.
Requirements
What you’ll need- 8+ years of experience in data/analytics engineering or enterprise data management
- Demonstrated ability to design and implement data governance frameworks and lead cross-functional stakeholders to align on KPIs, data standards, and strategic roadmaps.
- Proven expertise managing cloud data warehouses (e.g., Snowflake) and scaling enterprise data platforms.
- Hands-on experience with the modern data stack, including dbt for data transformation, orchestration tools (Airflow, Dagster), and ingestion tools (Fivetran, etc.).
- Experience implementing access controls, role-based permissions, and data masking to protect sensitive information across systems
- Strategic mindset with exposure to AI/ML, capable of identifying opportunities to leverage advanced analytics for business impact.
- Experience leading sprint prioritization, roadmap management, and mentoring high-performing data teams.
- Business acumen in SaaS or technology companies, with familiarity in metrics such as ARR, churn, pipeline health, and customer lifetime value.
Benefits
Comp & perks- Live your best life (LYBL)! $200/mo for anything that enhances your life
- Comprehensive employee health coverage
- 401(k) with company match
- Competitive compensation & bonus program
- Flexible vacation (exempt) / Accrued vacation (non-exempt)
- Time off for your birthday & volunteering
- Employee resource groups
- Opportunities for team and company-wide get-togethers!
- Parental Leave
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringdata governancedata modelingdata transformationcloud data warehousesAI/MLdata strategyCI/CDdata analyticsdata pipeline development
Soft Skills
leadershipcross-functional collaborationstrategic thinkingmentoringprioritizationcommunicationinnovationstakeholder managementproblem-solvingorganizational skills
