Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world.
DigitalOcean is seeking a highly experienced Senior Business Intelligence Engineer to join our dynamic team. This pivotal role is perfect for a seasoned professional passionate about leveraging data to drive strategic business decisions and optimize reporting processes within our cloud computing infrastructure.
What You’ll Do:
Strategic BI System Management: Lead the design, development, and maintenance of our comprehensive BI systems, ensuring their scalability, reliability, and alignment with evolving business needs.
BI Optimization & Innovation: Proactively identify and implement strategies to optimize existing reporting processes, enhance data visualization, and introduce innovative reporting solutions that provide actionable insights.
Data Architecture & Modeling: Design and implement robust data models and architectures using dbt that support efficient data storage, retrieval, availability, analysis, and comprehensive BI reporting.
ETL Development: Develop and maintain complex ETL (Extract, Transform, Load) processes to ensure data is accurately and efficiently integrated across various systems.
Data Warehousing: Build and maintain performant data warehouses and data lakes to support advanced analytics and reporting needs.
Data Analytics & BI Reporting: Develop and maintain BI infrastructure to enable in-depth stakeholder analysis and reporting.
Performance Optimization: Monitor and optimize the performance of data pipelines and query execution to ensure efficient processing and analysis.
Cross-functional Collaboration: Work closely with product managers, data scientists, marketing managers, and other engineers to understand complex business requirements and translate them into robust technical BI solutions.
Documentation: Create and maintain detailed documentation of data architectures, processes, and best practices.
Key Skills and Qualifications:
Strong communication and analytical skills with the ability to derive insights from complex data patterns and present to the executive team.
Extensive experience with dbt, data modeling techniques, and best practices, with a proven track record of building sophisticated and optimized data models.
Expert-level proficiency in SQL and extensive experience with relational databases (e.g., PostgreSQL, MySQL).
Deep understanding of data architecture and best practices, including automation, governance, lineage, and dependency management.
Significant experience with data warehousing solutions (e.g., Redshift, Snowflake, BigQuery).
Advanced familiarity with BI tools, with Looker preferred.
Strong experience with ETL tools and frameworks (e.g., Apache Airflow).
Proven experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-based data services.
Demonstrated ability to independently identify and solve complex BI problems and optimize reporting workflows.
Why You’ll Like Working for DigitalOcean
We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
We reward our employees. The salary range for this position is $138,000 - $208,000 based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.