Sr Analytics Engineer - GTM Strategy and Operations

SLSQ225R388

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. The GTM Sr. Analytics Engineer will leverage the Data Intelligence Platform to deliver analytics utilizing our GTM data.

Reporting to the Snr. Manager, GTM Analytics Engineering, the Senior Analytics Engineer will provide support in the form of data and analytics to both support the greater Strategy and Operations team as well as teams in the field. Support can mean building dashboards, developing curated reporting tables or reports, building forecasts, ad hoc analysis or other simple models, all with the intention of providing visibility and insight to the field and their businesses. 

The role will require technical and project management skills, including the ability to work independently and the ability to partner with stakeholders, including GTM leaders and others within the broader analytics community. Understanding the technology stack and how the data flows between systems (Salesforce, HG Insights, ZoomInfo, etc.) is crucial. The analyst will become an expert on using the Databricks Platform and complimentary technologies for analyzing data and presenting insight.

The Impact You Will Have :

• Build: You will develop analytic tools including dashboards, tables, analyses, and models that will be used by hundreds of employees in the field (technical and non-technical sales) as well as leaders across the globe
• Project Manage: You will both manage the requirements gathering and lead the execution of strategic analytic projects
• Relationships: You will build and manage relationships with stakeholders across the company but primarily with the GTM strategy and operations team
• Use Databricks: You will work every day with a variety of data using Databricks’ Data Intelligence Platform

What we look for:

• You have 3+ years of experience working as an Analyst / Data Engineer with B2B sales, marketing, or finance data.
• You are highly technical with extensive knowledge of data systems and architectures.
• You have advanced proficiency in SQL, Python, and big data technologies such as Spark, Delta Lake.
• You have experience with cloud platforms (AWS, Azure, or GCP) and data warehousing solutions.
• Expertise in designing and implementing ETL/ELT pipelines and working with both relational and NoSQL databases is essential.
• Experience with CRM Analytics or Databricks is a plus.
• You have a passion for building robust, scalable data infrastructure and optimizing data flows.
• You enjoy developing efficient data pipelines and storage solutions to enable data scientists and analysts to derive actionable insights. While you focus primarily on data architecture and system performance, you also understand the importance of data quality and governance in supporting business objectives.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks. 

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.