For over 20 years Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now in our most ambitious chapter yet we are uniting human teams with AI agents. By orchestrating the work agents do best automating manual tasks and uncovering insights at scale we create the space for people to focus on what truly matters judgment creativity and big thinking. That is magic at work and it’s what we show up for every day. Smartsheet is hiring a Senior Analytics Engineer to lead the way in data-driven decision-making. You will be responsible for the creation and maintenance of a governed reliable and scalable analytics system transforming raw data into usable datasets for DS/ML analytics and reporting. A key aspect of this role is leading the architecture and implementation of efficient data transformation systems within Snowflake fostering data democratization and impacting business outcomes. Working closely with BI analysts and Data scientists you will ensure data accessibility and drive activation on critical customer-facing platforms. This full-time position reports to the Director of Analytics Engineering and is based in Smartsheet’s corporate offices in Bengaluru India. You Will Leading the implementation of efficient and scalable systems that optimize data transformations from our data lake in Snowflake into clean documented data products. Contribute to the design standards and architectural principle standards designs and processes. Build and maintain a governed robust reliable and scalable analytics system (DW/DV). Collaborating with BI analysts and data scientists to provide proper data accessibility guidelines. Foster data democratization via activation of data on critical platforms like Smartsheet platform Amplitude Thoughtspot Gainsight. Create and contribute to frameworks that improve data quality and observability to identify and resolve issues faster. Create and implement data testing plans encompassing data validation data quality assessment and regression testing to identify anomalies inconsistencies or errors in produced datasets. Mentor and guide teams and help drive high standards across the team by conducting design reviews and engineering ideation forums. Collaborate with cross-functional teams to assess data privacy needs and define data masking strategies aligned with industry compliance standards (e.g. GDPR HIPAA CCPA). You Have 6+ years of experience in advanced data modeling using Data Vault (DV 2
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