Sr Data Engineer

JOB LEVEL P40EMPLOYEE ROLE Individual Contributor The Opportunity Adobe is at the forefront of enabling our customers’ digital transformation and new experience design-led business models. The Business Operations, Automation & Intelligence team is critical in driving growth and success across our Creativity & Productivity and Customer Experience Orchestration businesses. We provide the systems, tools, and insights that our Sales and Post-Sales teams need to make our customers successful. The ideal candidate for this position is part analyst, part developer, and part influential leader. In this role, you will advise business leaders by providing data-centric strategic direction to identify and address business issues and opportunities. You will play a key role in developing, understanding, and accomplishing strategic goals to create capacity within the Pricing & Revenue Operations organization. Collaboration with experts across finance, engineering, data science, programming, and UI/UX will be essential to conduct analyses, develop insights, and deliver actionable recommendations. What you’ll do Create sophisticated and intuitive business intelligence tools that provide automation and intelligence programs to analysts, management, and executives. Design, develop, and maintain data integration pipelines using APIs to extract, transform, and load data from various sources into target systems. Use Power BI navigation features (e.g.: bookmarks, drill-through) to guide users through compelling data-driven stories. Synthesize complex data sets into insights and build analytics stories that lead to strategic business decisions. Use SQL, Python, Databricks, Snowflake, and SAP HANA to curate and query large data sets, perform analyses, and create custom views. Define acceptance criteria for testing and collaborate closely with engineering, QE, developers, and users to create and implement test plans. What you need to succeed 6-10 years of experience in Business Intelligence and Analytics Degree or equivalent experience in CS, IT, Statistics, or related fields; and coursework or job experience with advanced data and analytics Advanced hands-on experience with enterprise business intelligence software applications including Microsoft Power BI, Microsoft Power Apps, and Microsoft Excel; SnapLogic is a plus. Exceptional ability to design and create data visualizations that are intuitive, informative, and impactful. Advanced experience using SQL to extract data, understand data structures, and run queries. Outstanding problem-solving and analytical skills including talent for conducting research, analyzing data, developing hypotheses, and synthesizing recommendations. Ability to coordinate with colleagues and stakeholders across the globe. Record of consistently meeting deadlines while working in a fast-paced environment. High degree of intellectual curiosity and ability to absorb new concepts quickly. Self-starter with an ability to successfully lead through ambiguity and prioritize multiple projects and partners. Strong alignment with Adobe's Core Values: Create the future, Own the outcome, Raise the bar, and Be genuine. Expected Pay Range: Our compensation reflects the cost of labor across several  U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $105,700 -- $211,850 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.‌ At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. Stat