Senior GTM Data Engineer

As a part of the Revenue Operations team the Senior GTM Data Engineer will be a strategic partner to the sales and data orchestration data teams creating business-ready tables leveraging data-driven insights to shape and optimize sales strategies and campaigns. This role is integral to optimizing the data infrastructure that supports sales analytics ensuring data integrity and enabling scalable and efficient access to sales data. The Senior GTM Data Engineer will focus on designing scalable pipelines translating complex data into meaningful narratives that inform decision-making and drive business growth and guiding data strategy through deep analysis and advanced data visualization. With a strong understanding of data normalization strategies attribution methodologies sales and partner metrics the customer lifecycle and industry best practices this individual will collaborate closely with cross-functional teams to ensure that data-driven insights are at the forefront of sales initiatives. The role requires a proactive approach to enhancing sales performance through data manipulation exploration reporting and strategic recommendations.

Key Responsibilities

• Serve as primary liaison withcross functional partners such asGTM & Commercialization MarketingTechnology &Operations Enterprise Data Finance/BIProduct & TechnologySales Operations and Partnersto integrate govern and standardize sales data acrossGTMsystems (CRM SnowflakeBigQuerySalesforce Marketo/Pardot GA4 and other sales technologies).

• Ownthe design development and maintenance of scalable data modelsand architecture in SnowflakeBigQuery DBT and related tools to ensure clean business-ready and well-documented data assetsto power revenue reportingforecastingand analytics.

• Build andoptimizedata pipelines and ELT workflows in Snowflake ensuring reliability performance and cost efficiency.

• Define standardize andmaintaingoverningsalesdata infrastructure ensuring consistency of key metrics taxonomies and architecture across global sales teams.

• Partner with FinanceBI Sales Operations and Marketing Operationsto develop refine and operationalize sales attribution methodologies that connect pipeline and revenue outcomes.

• Monitorvalidate andoptimizedata flows and integrationsestablishingQA processes anomaly detection and documentation to ensure accuracy and trustworthiness of data.

• Lead data stewardship efforts supporting data governance compliance and integration standards across platforms and global teams.

• Extract refine and manage complex campaign and audience lists for segmentation targeting and activation; ensure accuracy compliance and alignment with ICP definitions andsales objectives.

• Build analyze andoptimizeaudience segments across platforms (e.g. Salesforce ZoomInfo CDPs) to support global sales campaigns and demand generation efforts.

• Conduct deep-dive data analysis combining multiple systems and large datasets to generate actionable insights on customer behavior lifecycle performance andsalesROI.

• Build andmaintainadvanced dashboards and reports in Power BI and other visualization platforms ensuring accessibility accuracy and usability for sales stakeholders and executives.

• Support ad hoc analysis requests executive scorecards and MBR/QBR reporting to evaluate sales performance and business impact.

• Provide elevated team leadership by mentoring and supporting colleagues on complex data pulls insights analysis dashboard design segmentation and systems requirements.

• Act as a cross-functional liaison bridgingrevenue operationswith enterprise data technology and business stakeholders toalign ondata strategy requirements and execution.

• Proactively explorenew technologies tools and best practices to advancesales andmarketing data operations segmentation and performance reporting capabilities.

Requirements:

• Bachelors degree in Business Statistics Data Analytics DataScienceora relatedfield.

• 6 years of experience in data analysis reporting or business intelligence preferably within a sales context.

• Strong understanding of sales metricscustomerlifecycle andbest salespractices.

• Experience with data visualization tools such as Tableau Power BI Looker or similar platforms.

• Familiarity with querying and analyzing data from data warehouses (e.g. SnowflakeBigQuery) and advanced knowledge of data tools like TableauPowerBI Looker Salesforce Data Studio Excel and Power Query.

• Proficiencyin SQL andPythonfor querying databases and preparing data for analysis.

• Proficiencyin data analysis techniques including data cleansing joining and exploratory analysis.

• Experience with data visualization best practices and creating engaging visual reports and dashboards.

• Strong analytical and problem-solving skills with attention to detail.

• Ability to communicate complex data concepts clearly to non-technical stakeholders.

• Experience with attribution modeling andmulti-touch revenue analysis

• Familiarity with marketing automation platforms and CRM systems (e.g. Salesforce Marketo Pardotetc).

• Knowledge of forecasting techniques and sales analytics frameworks.

• Familiarity with global consent management regulations (e.g. GDPR CCPA) and data privacy best practices.

• Proficiencyin data extraction manipulation and analysis using tools like SQL Python Excel or data visualization platforms (e.g. Tableau Power BI).

• Experience working with segmentation tools and platforms (e.g. Salesforce CDP Google AnalyticsRingLead ZoomInfo Equifaxetc).

• Strong analytical and problem-solving skills witha keenattention to detail.

• Excellent communication skills to collaborate with cross-functional teams and present insights effectively.

• Ability to work independently and prioritize tasks in a fast-paced environment.

• Understanding ofmarketing strategies lead management processes and audience targeting best practices.

• Familiarity with B2B marketing and revenue generation strategies.

• Preferred: Experience with Customer Data Platforms (CDP) and advanced segmentation techniques.

• Preferred: Background in working with or supporting multi-regional sales teams.

• **Data Visualization experienceis a plus. Leveraging best practices and creating engaging & interactive visual reports and dashboards.

• ** Experience with Customer Data Platforms (CDPs) and data integration concepts is a plus

• **Experience with data science tools and techniques such as R or Python is a plus.