Our purpose is to positively impact people’s lives every day in every home around the world! We work very hard to provide our consumers with high-quality, exciting 5-star products that make life easier. We thrive on passion and innovation and are looking for great people, with great ideas, who want to build the next big thing and develop while they do.
Position Summary:
The Lead Analytics Engineer will be responsible for spearheading the development and optimization of our data analytics frameworks and infrastructure. This role requires a deep understanding of DBT, Snowflake, and advanced SQL, along with expertise in ETL methodologies and orchestration tools such as Airflow and Dagster. The ideal candidate will also have a working knowledge of Python. As lead engineer, you will lead the development across one of 3 organization pillars (finance, ops or revenue). You will partner closely with the leads of each pillar to drive consistency and reusability of warehouse objects.
Key Responsibilities:
- Leadership and Mentorship:
- Mentor members of the analytics engineering team, providing technical guidance, and support on code and projects.
- Foster a collaborative and innovative team environment, encouraging professional growth and development.
- Strategic Planning:
- Define and execute the analytics engineering strategy, aligning with organizational goals and business needs.
- Identify opportunities for process improvements and implement best practices in data analytics and engineering.
- Project Management:
- Oversee the design, development, and maintenance of scalable and efficient data models using DBT and Snowflake.
- Manage multiple projects simultaneously, ensuring timely delivery and adherence to high-quality standards.
- Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions and insights.
- Technical Implementation:
- Develop and optimize SQL queries and scripts for data transformation and aggregation.
- Implement and manage ETL processes, ensuring data accuracy and integrity.
- Lead the design and implementation of data orchestration workflows using tools such as Dagster or Airflow.
- Build out automated AI workflows using LLMs like ChatGPT, integrating advanced AI capabilities into data processes.
- Ensure compliance with data governance and security policies.
- Collaboration and Communication:
- Work closely with data scientists, analysts, and other stakeholders to support data modeling and analysis efforts.
- Communicate effectively with technical and non-technical stakeholders, translating complex technical concepts into actionable insights.
- Continuous Improvement:
- Champion the use of GIT for version control and collaborative development.
- Promote a culture of continuous learning and improvement within the analytics engineering team.
Qualifications:
- 4+ years of proven experience as a Lead Analytics Engineer, with a strong portfolio of successful data projects.
- Expert knowledge of SQL and database management systems, particularly Snowflake.
- Extensive experience with ETL methodologies and data modeling.
- Proficient in orchestration tools like Airflow and Dagster.
- Hands-on experience with GIT for version control.
- Programming skills in Python and familiarity with data pipeline development are highly desirable.
- Excellent problem-solving skills and the ability to work independently or as part of a team.
- Extensive data modeling experience
- Strong communication skills, both verbal and written.
Education:
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
- Advanced degrees or professional certifications related to data engineering are preferred.
- Lead us to be “RARELY SATISFIED”
- Make things better each day; “PROGRESS OVER PERFECTION”
- Use your knowledge of our consumer, understand that “DETAILS MAKE THE DIFFERENCE”
- Deliver something great; “WINNING IS A TEAM SPORT”
- Be clear and honest, “COMMUNICATING FOR IMPACT”
We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law. SharkNinja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact SharkNinja People & Culture at accommodations@sharkninja.com
