Sr Analytics Engineer - GTM Strategy and Operations

SLSQ227R554

Sr Analytics Engineer - GTM Strategy and Operations

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.

Role: As a Senior Analytics Engineer, you will be a critical partner to the Global GTM Strategy & Operations teams, providing the data, AI driven insights, and infrastructure needed to drive efficiency and effectiveness across the organization. You will design, build, and maintain scalable data models, curated reporting tables, forecasts, and dashboards that support everyone from senior executives to individual contributors, empowering them to make informed decisions and spend more time driving customer outcomes.

Working closely with cross-functional stakeholders—including Sales, Finance, Marketing, and other data teams—you will tackle complex data challenges by leveraging structured data, building AI-powered querying assistants, and using tools like Databricks Genie to improve data accessibility, streamline insights, and deliver actionable, reliable solutions across the business. You will also play a key role in advancing our newly created AI initiatives and semantic data curation efforts, helping to establish a strong foundation for advanced analytics, automation, and scalable business intelligence.

The Impact You Will Have:

• Build: You will design and develop analytic tools, including a semantic layer for AI use cases, scalable data models, curated tables, and insightful analyses that empower thousands of field employees and leaders worldwide. You will work hands-on with diverse datasets every day, leveraging Databricks’ Data Intelligence Platform to drive actionable insights and business impact.


• Architect: You will both manage the requirements gathering and lead execution of strategic analytic projects


• Scale: You will build and manage relationships with stakeholders across the company but primarily with the GTM strategy and operations team

What we look for:

• You have 4+ years of experience working as an Analyst / Data Engineer / Analytics Engineer with B2B sales, marketing, or finance data (GTM experience highly preferred).


• You are data-savvy with 3+ years of SQL and 2+ years of Python experience. Familiarity with data ecosystems and BI tools (e.g., Databricks, PowerBI) is required. GitHub workflow and PySpark experience are a plus.


• You have built for scale. You have experience building scalable and productionizable data models with best practices in mind.


• You integrate AI into your daily workflow. You have hands-on experience using large language model tools (such as Claude or similar) to accelerate analytics work — from drafting and debugging code to synthesizing requirements and generating documentation. You're comfortable evaluating AI-generated outputs critically and iterating quickly.


• You are passionate about applying AI to transform GTM teams. You bring experience in delivering AI-driven solutions and have the ability to design innovative use cases as well as structure data models and tables that are optimized for AI readiness.


• You excel in partnering with the business, understanding the impact of your work on GTM, and creating innovative solutions. You have a track record of cross-functional collaboration and strong stakeholder relationships.


• You excel in a collaborative environment. You translate team member needs into clear tasks and deliverables for contributors. You work through dependencies, bottlenecks, and tradeoffs with ease. You have a service-oriented mindset. You are curious, creative, and kind.

Company: At Databricks, our mission is to radically simplify the entire data lifecycle—from ingestion to ETL, BI, and through to ML/AI. To achieve this goal, we believe the traditional data warehouse architecture will be replaced by the new Data Intelligence Platform built on the Lakehouse, an open platform that unifies data warehousing and advanced analytics.