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Design, build, and maintain Snowflake data assets and dbt models; create trusted metrics and semantic layers; develop pipelines and analytics artifacts using SQL and Python; collaborate with stakeholders to enable self-service reporting, ensure data quality, and document best practices.

Build and define company-wide Snowflake data assets and metrics layers. Architect, model, and deploy reliable DBT/Snowflake data pipelines and semantic metrics for reporting, analysis, and self-service. Collaborate with data engineering and stakeholders to implement scalable metrics, dimensions, and best practices.

Lead development of an enterprise-grade AI agent governance product: strengthen platform config and CI/CD support, treat agents as deployable configuration, build discovery, inventory, policy engine, audit trails, cost attribution, partner with Atlassian, and conduct enterprise customer discovery.

Lead design and delivery of backend-heavy, cloud-based SaaS features using Java, Spring, and AWS; implement frontend features with TypeScript/Angular or React; drive AI initiatives (chatbots, data quality, reporting); ensure code quality via testing and CI; make architectural decisions, mentor engineers, and collaborate with product, UX, and DevOps.

Build and maintain Snowflake-based data assets and metrics layers using dbt, SQL, and Python. Design reliable data models and pipelines, enable self-service analytics, collaborate with stakeholders, document definitions and best practices, and deliver scalable analytics solutions.

Design, build, and maintain AI-powered automations, integrations, and internal tools across SaaS/cloud platforms. Use AI coding assistants, agents, and MCP services to develop scripts, APIs, serverless workflows, and dashboards to automate onboarding, lifecycle management, data synchronization, and IT processes while collaborating with cross-functional teams.

Own and grow a portfolio of ~70 enterprise accounts to drive ARR expansion, retention, and migrations. Act as trusted advisor to executives, identify cross-sell/upsell opportunities, manage escalations, collaborate with partners and internal teams, and use CRM and analytics to measure NRR, ARR, and adoption.

Own the end-to-end product for discovering, governing, auditing, and attributing cost for AI agents in enterprise Jira environments. Strengthen platform foundations for configuration movement and CI/CD, extend governance to treat agents as first-class configuration, build a control plane and policy engine for runtime enforcement, partner with Atlassian, and lead customer discovery with enterprise platform admins and IT leaders.

Design, build, and maintain company-wide Snowflake data assets and dbt data models. Define metrics and dimensions, implement reliable pipelines, enable self-service analytics, collaborate with stakeholders, ensure data quality, and document solutions to support reporting, dashboards, and analysis.

Lead design, build, and operate scalable data platform and pipelines (ETL/reverse ETL). Own architecture for AWS/Snowflake data lake, optimize ingestion, enforce data quality and governance, introduce AI-driven engineering practices, mentor engineers, and drive cross-functional data projects from requirements through production.