Data Engineer

Druva, the autonomous data security company, puts data security on autopilot with a 100% SaaS, fully managed platform to secure and recover data from all threats. The Druva Data Security Cloud ensures the availability, confidentiality, and fidelity of data - providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. The company is trusted by its more than 6,000 customers, including 65 of the Fortune 500, to defend business data in today’s ever-connected world. Amidst a rapidly evolving security landscape, Druva offers a $10 million Data Resiliency Guarantee ensuring customer data is protected and secured against every cyber threat. Visit druva.com and follow us on LinkedIn, X and Facebook.

Druva has raised over $350m in venture capital, is trusted by over 4,000 global organizations and protects over 200 PB of data.

The Role & The Team:

The Business Intelligence team is responsible for all data driven insights and activations of those data sets into operational cadence and business process optimizations for Druva. We are seeking a Director of Business Intelligence/Analytics that will lead data to insights recommendation engine and stakeholder engagement. This is a high impact role that will offer exposure to the Executive team, collaborate with highly skilled engineers & product teams and leverage industry leading data stack/tools.

Druva is hiring a Data Analyst/Data Engineer to help build new data models, reports/dashboards and Data Apps to drive decision intelligence and data driven culture. As our company grows, this person will build data infrastructure (data models, data architecture, data aps, data governance) that brings together tech, product, and operational functions and informs strategic decision making at the executive level.

What You'll Do

• Weave data into decision-making and drive cross-functional data-oriented approaches and solutions and data activation workflows
• Ensure consistency and quality through metrics, documentation, processes, data testing, and training.
• Use your SQL/Python skills to craft cutting edge data solutions for both BI/DW and Data Apps/AI Use Cases 
• Develop scalable reporting solutions leveraging Modern Data Stack (Fivetran,dbt,Snowflake, Sigma Analytics, AWS)
• Communicate data-backed findings to a diverse constituency of internal and external stakeholders including visualizations, advanced analytics (forecasts, insights) and recommendations
• Contribute to Architectural stack analysis to scale DataOps, Data Management, Data strategy (Reverse ETL, Operational Analytics, MDM/Customer 360, Advanced Analytics, Generative AI/ML, Data Apps/Data Fabric)

What We're Looking For

• 5+ years in a data engineer or SQL/Python-heavy data analyst role (high-growth startup environments highly preferred)
• Ability to build logical and physical data models, data mappings, data flows, data architecture and data dictionaries
• Proficient in SQL/Python skills, and Advanced Excel/GSheet
• Experience with SDLC and associated Development Operations processes (JIRA/Confluence/Freshservice) to intake, prioritize, track and deploy solutions
• Experience with testing data flows and data reconciliation activities; ability to create scripts to test/automate data sets
• With the above stated, we are open to candidates of all backgrounds and encourage you to apply if interested! Druva is committed to cultivating a diverse and inclusive team and none of the above points are 100% required.
• Experience with modern business intelligence and product reporting tools (Snowflake, Fivetran, dbt, Sigma ,AI/ML, Apache Airflow, gitlab)

Bonus Points For:

• Exposure to SaaS environments, Salesforce, NetSuite, Gainsight, Marketo
• Part of a startup acquisition or IPO and have GTM Operations experience (Lead to Cash, Record to Report, Sales/Marketing Funnel)
• Relentlessly positive attitude, strong sense of humor, and the ability to have fun at work